Search results

• 2025

  Distilling Calibration via Conformalized Credal Inference

  Huang, J., Park, S., Paoletti, N. & Simeone, O., 1 Apr 2025, (Accepted/In press) International Joint Conference on Neural Networks (IJCNN 2025).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  File
  14 Downloads (Pure)
• 2022

  Adaptive Worker Grouping for Communication-Efficient and Straggler-Tolerant Distributed SGD

  Zhu, F., Zhang, J., Simeone, O. & Wang, X., 2022, 2022 IEEE International Symposium on Information Theory, ISIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 2996-3000 5 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2022-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Gradient Descent 100%
  • Convergence Time 100%
  • Performance Metric 50%
  • Computation Load 50%
  • Parameter Server 50%

• Bayesian Active Meta-Learning for Black-Box Optimization

  Nikoloska, I. & Simeone, O., 2022, 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022. Institute of Electrical and Electronics Engineers Inc., (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2022-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Meta-Learning 100%
  • Wireless System 25%
  • Unlabeled Data 25%
  • Task Selection 25%
  • Performance Indicator 25%
  6 Citations (Scopus)

• Forget-SVGD: Particle-Based Bayesian Federated Unlearning

  Gong, J., Kang, J., Simeone, O. & Kassab, R., 2022, 2022 IEEE Data Science and Learning Workshop, DSLW 2022. Institute of Electrical and Electronics Engineers Inc., (2022 IEEE Data Science and Learning Workshop, DSLW 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Gradient Descent 100%
  • Bayesian Learning 25%
  • Federated Learning 25%
  • Parameter Server 25%
  • Performance Comparison 25%
  16 Citations (Scopus)

• Learning to Broadcast with Layered Division Multiplexing

  Karasik, R., Simeone, O. & Shamai Shitz, S., 2022, 2022 IEEE International Symposium on Information Theory, ISIT 2022. Institute of Electrical and Electronics Engineers Inc., p. 2696-2701 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2022-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Division Multiplexing 100%
  • Quality of Service 33%
  • Layer Optimization 33%
  • Large Data Set 33%
  • Multicast Communication 33%

• Leveraging Channel Noise for Sampling and Privacy via Quantized Federated Langevin Monte Carlo

  Zhang, Y., Liu, D. & Simeone, O., 2022, 2022 IEEE 23rd International Workshop on Signal Processing Advances in Wireless Communication, SPAWC 2022. Institute of Electrical and Electronics Engineers Inc., (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2022-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Signal-to-Noise Ratio 100%
  • Model Parameter 100%
  • Engineering Application 100%
  • Artificial Intelligence 100%
  • Posterior Distribution 100%
  4 Citations (Scopus)

• PREDICTING FLAT-FADING CHANNELS VIA META-LEARNED CLOSED-FORM LINEAR FILTERS AND EQUILIBRIUM PROPAGATION

  Park, S. & Simeone, O., 27 Apr 2022, 2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8817-8821 5 p. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2022-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Fading Channel 100%
  • Flat Fading Channel 100%
  • Closed Form 100%
  • Linear Filter 100%
  • Flat Fading 100%
  4 Citations (Scopus)

• Robust Design of Rate-Splitting Multiple Access With Imperfect CSI for Cell-Free MIMO Systems

  Yu, D., Park, S. H., Simeone, O. & Shamai Shitz, S., 2022, 2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022. Institute of Electrical and Electronics Engineers Inc., p. 604-609 6 p. (2022 IEEE International Conference on Communications Workshops, ICC Workshops 2022).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Multiple-Input Multiple-Output 100%
  • Channel State Information 100%
  • Output System 100%
  • Robust Design 100%
  • Free Cell 100%
  7 Citations (Scopus)
• 2021

  An Information-Theoretic Analysis of the Impact of Task Similarity on Meta-Learning

  Jose, S. T. & Simeone, O., 12 Jul 2021, 2021 IEEE International Symposium on Information Theory, ISIT 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1534-1539 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2021-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Task Environment 100%
  • Theoretic Analysis 100%
  • Meta-Learning 100%
  • Relatedness 100%
  • Leaning Parameter 66%
  13 Citations (Scopus)

• A Unified PAC-Bayesian Framework for Machine Unlearning via Information Risk Minimization

  Jose, S. T. & Simeone, O., 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021. IEEE Computer Society, (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2021-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Information Risk 100%
  • Risk Minimization 100%
  • Bayesian Framework 100%
  • Training Data 50%
  • Minimization Problem 50%
  5 Citations (Scopus)

• Bayesian Variational Federated Learning and Unlearning in Decentralized Networks

  Gong, J., Simeone, O. & Kang, J., 2021, 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021. Institute of Electrical and Electronics Engineers Inc., p. 216-220 5 p. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2021-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Federated Learning 100%
  • Bayesian Learning 50%
  • training algorithm 50%
  • Energy Minimisation 50%
  • Minimization Problem 50%
  8 Citations (Scopus)

• BiSNN: Training spiking neural networks with binary weights via Bayesian learning

  Jang, H., Skatchkovsky, N. & Simeone, O., 5 Jun 2021, 2021 IEEE Data Science and Learning Workshop, DSLW 2021. Institute of Electrical and Electronics Engineers Inc., (2021 IEEE Data Science and Learning Workshop, DSLW 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Performance Loss 100%
  • Powered Device 100%
  • Energy Efficiency 100%
  • Network Model 100%
  • Artificial Neural Network 100%
  15 Citations (Scopus)

• Calibration-Aided Edge Inference Offloading via Adaptive Model Partitioning of Deep Neural Networks

  Pacheco, R. G., Couto, R. S. & Simeone, O., Jun 2021, ICC 2021 - IEEE International Conference on Communications, Proceedings. Institute of Electrical and Electronics Engineers Inc., (IEEE International Conference on Communications).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Deep Neural Network 100%
  • Mobile Device 33%
  • Prediction Accuracy 16%
  • Communication Delay 16%
  • Computer Hardware 16%
  16 Citations (Scopus)

• Conditional Mutual Information-Based Generalization Bound for Meta Learning

  Rezazadeh, A., Jose, S. T., Durisi, G. & Simeone, O., 12 Jul 2021, 2021 IEEE International Symposium on Information Theory, ISIT 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1176-1181 6 p. (IEEE International Symposium on Information Theory - Proceedings; vol. 2021-July).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Meta-Learning 100%
  • Mutual Information 100%
  • Training Sample 75%
  • Training Data 50%
  • Generalization Performance 25%
  10 Citations (Scopus)

• Fast Data-Driven Adaptation of Radar Detection via Meta-Learning

  Jiang, W., Haimovich, A. M., Govoni, M., Garner, T. & Simeone, O., 2021, 55th Asilomar Conference on Signals, Systems and Computers, ACSSC 2021. Matthews, M. B. (ed.). IEEE Computer Society, p. 1618-1622 5 p. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2021-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Operating Environment 100%
  • Transfer Learning 100%
  • Radar Detection 100%
  • Collected Data 50%
  • Conventional Method 50%
  3 Citations (Scopus)

• Fast on-device adaptation for spiking neural networks via online-within-online meta-learning

  Rosenfeld, B., Rajendran, B. & Simeone, O., 5 Jun 2021, 2021 IEEE Data Science and Learning Workshop, DSLW 2021. Institute of Electrical and Electronics Engineers Inc., (2021 IEEE Data Science and Learning Workshop, DSLW 2021).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Neural Network 100%
  • Meta-Learning 100%
  • Use Case 20%
  • Minimal Amount 20%
  • Lifelong Learning 20%
  7 Citations (Scopus)

• Fast Power Control Adaptation via Meta-Learning for Random Edge Graph Neural Networks

  Nikoloska, I. & Simeone, O., 2021, 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021. Institute of Electrical and Electronics Engineers Inc., p. 146-150 5 p. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2021-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Power Control 100%
  • Power Control Policy 100%
  • Graph Neural Network 100%
  • Meta-Learning 100%
  • Channel Condition 50%
  18 Citations (Scopus)

• HyperRNN: Deep Learning-Aided Downlink CSI Acquisition via Partial Channel Reciprocity for FDD Massive MIMO

  Liu, Y. & Simeone, O., 2021, 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2021. Institute of Electrical and Electronics Engineers Inc., p. 31-35 5 p. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2021-September).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Division Duplex 100%
  • Channel State Information 100%
  • Massive MIMO 100%
  • Channel Reciprocity 100%
  • Frequency Division 100%
  15 Citations (Scopus)

• Information-Theoretic Bounds on Transfer Generalization Gap Based on Jensen-Shannon Divergence

  Jose, S. T. & Simeone, O., 2021, In: European Signal Processing Conference. p. 1461-1465 5 p.

  Research output: Contribution to journal › Conference paper › peer-review

  • Data Distribution 100%
  • Jensen-Shannon Divergence 100%
  • Source Distribution 66%
  • Training Dataset 66%
  • Upper Bound 50%
  9 Citations (Scopus)

• Learning to Learn to Demodulate with Uncertainty Quantification via Bayesian Meta-Learning

  Cohen, K. M., Park, S., Simeone, O. & Shamai, S., 2021, WSA 2021 - 25th International ITG Workshop on Smart Antennas. VDE VERLAG GMBH, p. 202-207 6 p. (WSA 2021 - 25th International ITG Workshop on Smart Antennas).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Uncertainty Quantification 100%
  • Demodulation 100%
  • Demodulator 100%
  • Meta-Learning 100%
  • Neural Network 100%
  4 Citations (Scopus)

• Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck

  Skatchkovsky, N., Simeone, O. & Jang, H., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, M., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 17049-17059 11 p. (Advances in Neural Information Processing Systems; vol. 21).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Neural Network 100%
  • Natural Signal 60%
  • Artificial Neural Network 40%
  • Generative Model 20%
  • Variational Autoencoder 20%
  9 Citations (Scopus)

• Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels

  Raviv, T., Park, S., Shlezinger, N., Simeone, O., Eldar, Y. C. & Kang, J., Jun 2021, 2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9473693. (2021 IEEE International Conference on Communications Workshops, ICC Workshops 2021 - Proceedings).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Deep Neural Network 100%
  • Meta-Learning 100%
  • Temporal Variation 100%
  • Bit Error Rate 100%
  • Neural Network 100%
  14 Citations (Scopus)

• Multi-sample online learning for spiking neural networks based on generalized expectation maximization

  Jang, H. & Simeone, O., 2021, In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2021-June, p. 4080-4084 5 p.

  Research output: Contribution to journal › Conference paper › peer-review

  • Log Likelihood 100%
  • Neural Network 100%
  • Single Run 25%
  • Importance Sampling 25%
  • Independent Sample 25%
  1 Citation (Scopus)

• Transfer Bayesian Meta-Learning Via Weighted Free Energy Minimization

  Zhang, Y., Jose, S. T. & Simeone, O., 2021, 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing, MLSP 2021. IEEE Computer Society, (IEEE International Workshop on Machine Learning for Signal Processing, MLSP; vol. 2021-October).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Energy Minimisation 100%
  • Meta-Learning 100%
  • Auxiliaries 100%
  • Free Energy 100%
  • Generating Distribution 50%
• 2020

  Address-Event Variable-Length Compression for Time-Encoded Data

  Jose, S. T. & Simeone, O., 24 Oct 2020, Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020. Institute of Electrical and Electronics Engineers Inc., p. 71-75 5 p. 9366190. (Proceedings of 2020 International Symposium on Information Theory and its Applications, ISITA 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Social Network 100%
  • Variable Length 100%
  • Discrete Time 100%
  • Codebooks 100%
  • Encoded Signal 100%
  3 Citations (Scopus)

• Beyond Max-SNR: Joint Encoding for Reconfigurable Intelligent Surfaces

  Karasik, R., Simeone, O., Di Renzo, M. & Shamai Shitz, S., Jun 2020, 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 2965-2970 6 p. 9174060. (IEEE International Symposium on Information Theory - Proceedings; vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Signal-to-Noise Ratio 100%
  • Max 100%
  • Joint Encoding 100%
  • Rate Control 25%
  • Numerical Experiment 25%
  43 Citations (Scopus)

• Coded Computation Against Straggling Channel Decoders in the Cloud for Gaussian Channels

  Shi, J., Ling, C., Simeone, O. & Kliewer, J., Jun 2020, 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 156-161 6 p. 9174145. (IEEE International Symposium on Information Theory - Proceedings; vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Gaussians 100%
  • Channel Decoder 100%
  • Radio Access Network 50%
  • Linear Code 50%
  • Linear Combination 50%
  1 Citation (Scopus)

• Cooperative Learning VIA Federated Distillation over Fading Channels

  Ahn, J. H., Simeone, O. & Kang, J., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8856-8860 5 p. 9053448. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Federated Learning 100%
  • Fading Channel 100%
  • Channel Coding 33%
  • Communication Overhead 33%
  • Distributed Machine Learning 33%
  27 Citations (Scopus)

• Decentralized Federated Learning via SGD over Wireless D2D Networks

  Xing, H., Simeone, O. & Bi, S., May 2020, 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020. Institute of Electrical and Electronics Engineers Inc., 9154332. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Gradient Descent 100%
  • Federated Learning 100%
  • Decentralized Federated Learning 100%
  • Physical Layer 33%
  • Wireless Channel 33%
  76 Citations (Scopus)

• End-To-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning

  Park, S., Simeone, O. & Kang, J., May 2020, 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020. Institute of Electrical and Electronics Engineers Inc., 9154322. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Joints (Structural Components) 100%
  • Channel Model 100%
  • Communication Link 100%
  • Meta-Learning 100%
  • Training Phase 50%
  36 Citations (Scopus)

• End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence

  Skatchkovsky, N., Jang, H. & Simeone, O., 1 Nov 2020, Conference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020. Matthews, M. B. (ed.). IEEE Computer Society, p. 166-173 8 p. 9443351. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2020-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Neural Network 100%
  • Wireless System 100%
  • Artificial Intelligence 100%
  • impulse radio 50%
  • Data Stream 25%
  18 Citations (Scopus)

• Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence

  Skatchkovsky, N., Jang, H. & Simeone, O., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8524-8528 5 p. 9053861. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Neural Network 100%
  • Edge Intelligence 100%
  • Federated Learning 57%
  • Synaptic Weight 14%
  • Feedback Signal 14%
  29 Citations (Scopus)

• Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles

  Kassab, R., Simeone, O. & Popovski, P., May 2020, 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020. Institute of Electrical and Electronics Engineers Inc., 9154262. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Random Access 100%
  • Internet-Of-Things 100%
  • Interference Power 33%
  • Internet of Things Device 33%
  • Communication Resource 33%
  3 Citations (Scopus)

• From learning to meta-learning: Reduced training overhead and complexity for communication systems

  Simeone, O., Park, S. & Kang, J., Mar 2020, 2nd 6G Wireless Summit 2020: Gain Edge for the 6G Era, 6G SUMMIT 2020. Institute of Electrical and Electronics Engineers Inc., 9083856. (2nd 6G Wireless Summit 2020: Gain Edge for the 6G Era, 6G SUMMIT 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Meta-Learning 100%
  • Machine Learning 50%
  • Learning System 50%
  • Neural Network 25%
  • Time Complexity 25%
  56 Citations (Scopus)

• Grant-free access for IoT in beyond-5G systems: The potential of receiver diversity

  Munari, A., Clazzer, F., Simeone, O. & Utkovski, Z., Mar 2020, 2nd 6G Wireless Summit 2020: Gain Edge for the 6G Era, 6G SUMMIT 2020. Institute of Electrical and Electronics Engineers Inc., 9083892. (2nd 6G Wireless Summit 2020: Gain Edge for the 6G Era, 6G SUMMIT 2020).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Beyond 5G 100%
  • Internet-Of-Things 100%
  • Type Communication 50%
  • Technology Solution 50%
  • Market Penetration 50%
  5 Citations (Scopus)

• Inter-Tenant Cooperative Reception for C-RAN Systems with Spectrum Pooling

  Kim, J., Yu, D., Park, S. H., Simeone, O. & Shitz, S. S., Jun 2020, 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9148896. (IEEE International Conference on Communications; vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Radio Access Network 100%
  • Network System 100%
  • Iterative Algorithm 50%
  • Fractional Programming 50%
  • Bandwidth Allocation 50%
  6 Citations (Scopus)

• ITENE: Intrinsic Transfer Entropy Neural Estimator

  Zhang, J., Simeone, O., Cvetkovic, Z., Abela, E. & Richardson, M., 26 Feb 2020, International Zurich Seminar on Information and Communication (IZS 2020). p. 83-87 5 p.

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  Open Access

  • Past State 100%
  • Mutual Information 100%
  • Neural Network 100%
  • Metric Entropy 50%
  • Information Measure 50%

• Joint Source-Channel Coding and Bayesian Message Passing Detection for Grant-Free Radio Access in IoT

  Dommel, J., Utkovski, Z., Stanczak, S. & Simeone, O., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8574-8578 5 p. 9053021. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Basestation 100%
  • Channel Coding 100%
  • Radio Access 100%
  • Internet-Of-Things 100%
  • Joint Source 100%
  9 Citations (Scopus)

• Meta-Learning to Communicate: Fast End-to-End Training for Fading Channels

  Park, S., Simeone, O. & Kang, J., May 2020, 2020 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5075-5079 5 p. 9053252. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Meta-Learning 100%
  • Fading Channel 100%
  • Joints (Structural Components) 100%
  • Gradient Descent 33%
  • Transmission Scheme 33%
  40 Citations (Scopus)

• Multi-Cell Mobile Edge Coded Computing: Trading Communication and Computing for Distributed Matrix Multiplication

  Li, K., Tao, M., Zhang, J. & Simeone, O., Jun 2020, 2020 IEEE International Symposium on Information Theory, ISIT 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 215-220 6 p. 9174273. (IEEE International Symposium on Information Theory - Proceedings; vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Data Matrix 100%
  • Matrix Multiplication 100%
  • Multi-Access Edge Computing 100%
  • Uplink Transmission 100%
  • Data Redundancy 100%
  7 Citations (Scopus)

• Optimizing Over-The-Air Computation in IRS-Aided C-RAN Systems

  Yu, D., Park, S. H., Simeone, O. & Shitz, S. S., May 2020, 2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2020. Institute of Electrical and Electronics Engineers Inc., 9154243. (IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC; vol. 2020-May).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Over-The-Air Computation 100%
  • Reflecting Surface 100%
  • Radio Access Network 100%
  • Intelligent Reflecting Surface 100%
  • Network System 100%
  26 Citations (Scopus)

• Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services

  Kassab, R., Simeone, O., Munari, A. & Clazzer, F., Jun 2020, 2020 IEEE International Conference on Communications, ICC 2020 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 9148807. (IEEE International Conference on Communications; vol. 2020-June).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Access Point 100%
  • Random Access 100%
  • Internet-Of-Things 100%
  • Wireless Backhaul 33%
  • Resource Sharing 33%
  10 Citations (Scopus)

• Vowel: A local online learning rule for recurrent networks of probabilistic spiking winner-take-all circuits

  Jang, H., Skatchkovsky, N. & Simeone, O., 2020, Proceedings of ICPR 2020 - 25th International Conference on Pattern Recognition. Institute of Electrical and Electronics Engineers Inc., p. 4597-4604 8 p. 9413206. (Proceedings - International Conference on Pattern Recognition).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Neural Network 100%
  • Electronic Learning 100%
  • Recurrent Network 100%
  • Use Case 16%
  • Trained Neural Network 16%
  7 Citations (Scopus)
• 2019

  Cloud-Aided Interference Management with Cache-Enabled Edge Nodes and Users

  Shariatpanahi, S. P., Zhang, J., Simeone, O., Khalaj, B. H. & Maddah-Ali, M. A., 1 Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2019-July. p. 737-741 5 p. 8849688

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Multicasting 100%
  • Link Capacity 100%
  • Wireless Medium 100%
  • Content Delivery 100%
  • Received Information 100%
  1 Citation (Scopus)

• Coded Federated Computing in Wireless Networks with Straggling Devices and Imperfect CSI

  Ha, S., Zhang, J., Simeone, O. & Kang, J., 1 Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2019-July. p. 2649-2653 5 p. 8849507

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Distributed Computing 100%
  • Wireless Network 100%
  • Wireless Channel 50%
  • Computing Platform 50%
  • Data Center 50%
  32 Citations (Scopus)

• Cooperative Deep Reinforcement Learning for Multiple-group NB-IoT Networks Optimization

  Jiang, N., Deng, Y., Simeone, O. & Nallanathan, A., 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 8424-8428 5 p. 8682697. (2010 Ieee International Conference On Acoustics, Speech, And Signal Processing).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Internet-Of-Things 100%
  • Reinforcement Learning 100%
  • Network Optimization 100%
  • Deep Reinforcement Learning 100%
  • Array Comparative Genomic Hybridization 50%
  19 Citations (Scopus)

• Distributed and Private Coded Matrix Computation with Flexible Communication Load

  Aliasgari, M., Simeone, O. & Kliewer, J., 1 Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2019-July. p. 1092-1096 5 p. 8849606

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Data Matrix 100%
  • Computation Matrix 100%
  • Matrix Multiplication 66%
  • Distributed Computing 33%
  • Computing Platform 33%
  16 Citations (Scopus)

• End-to-end Learning of Waveform Generation and Detection for Radar Systems

  Jiang, W., Haimovich, A. M. & Simeone, O., Nov 2019, Conference Record - 53rd Asilomar Conference on Circuits, Systems and Computers, ACSSC 2019. Matthews, M. B. (ed.). IEEE Computer Society, p. 1672-1676 5 p. 9049027. (Conference Record - Asilomar Conference on Signals, Systems and Computers; vol. 2019-November).

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Radar Systems 100%
  • Learning Approach 100%
  • Feedforward 50%
  • Conventional Method 50%
  • Joint Design 50%
  10 Citations (Scopus)

• Improved Latency-communication Trade-off for Map-shuffle-reduce Systems with Stragglers

  Zhang, J. & Simeone, O., 1 May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2019-May. p. 8172-8176 5 p. 8682404

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Multicasting 100%
  • Matrix Multiplication 100%
  • Communication Latency 100%
  • Communication Overhead 100%
  • Distributed Computing Systems 100%
  20 Citations (Scopus)

• Latency Limits for Content Delivery in a Fog-RAN with D2D Communication

  Karasik, R., Simeone, O. & Shitz, S. S., 1 Jul 2019, 2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. 2019-July. p. 1467-1471 5 p. 8849844

  Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

  • Content Delivery 100%
  • Device-To-Device 100%
  • Multiplicative Factor 100%
  • Arbitrary Number 100%
  • Radio Access Network 100%