Search results

• 2024

  Bayesian Optimization With Formal Safety Guarantees via Online Conformal Prediction

  Zhang, Y., Park, S. & Simeone, O., 3 Jul 2024, (E-pub ahead of print) In: Ieee Journal Of Selected Topics In Signal Processing. p. 1-15 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Constraint Function 100%
  • Engineering 50%
  • Experimental Result 50%
  • Candidate Solution 50%
  • Safety Requirement 50%
  3 Citations (Scopus)

  89 Downloads (Pure)

• Cross-frequency cortex-muscle interactions are abnormal in young people with dystonia

  Guo, Z., Lin, J. P., Simeone, O., Mills, K. R., Cvetkovic, Z. & McClelland, V. M., 2024, In: Brain Communications. 6, 2, fcae061.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Dystonia 100%
  • Electromyography 57%
  • Cerebral Palsy 28%
  • Sensory Processing 14%
  • Nervous System Disorder 14%
  1 Citation (Scopus)

  72 Downloads (Pure)

• Federated Inference With Reliable Uncertainty Quantification Over Wireless Channels via Conformal Prediction

  Zhu, M., Zecchin, M., Park, S., Guo, C., Feng, C. & Simeone, O., 29 Jan 2024, In: IEEE Transactions on Signal Processing. 72, p. 1235-1250 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Wireless Channel 100%
  • Conformal Prediction 100%
  • Communication Resource 12%
  • Statistical Information 12%
  • Pre-Trained Model 12%
  3 Citations (Scopus)

  48 Downloads (Pure)

• Forking Uncertainties: Reliable Prediction and Model Predictive Control With Sequence Models via Conformal Risk Control

  Zecchin, M., Park, S. & Simeone, O., 2024, In: IEEE Journal on Selected Areas in Information Theory. 5, p. 44-61 18 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Sequence Model 100%
  • Predictive Model 100%
  • Use Case 33%
  • Real-World Problem 33%
  • Closed-Loop Control 33%
  2 Citations (Scopus)

  55 Downloads (Pure)

• Knowing When to Stop: Delay-Adaptive Spiking Neural Network Classifiers with Reliability Guarantees

  Chen, J., Park, S. & Simeone, O., Jul 2024, In: Ieee Journal Of Selected Topics In Signal Processing. p. 1-15 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Neural Network 100%
  • Conformal Prediction 42%
  • Energy Consumption 42%
  • Neural Network Model 14%
  • Training Phase 14%
  100 Downloads (Pure)

• Stochastic Spiking Attention: Accelerating Attention with Stochastic Computing in Spiking Networks

  Song, Z., Katti, P., Simeone, O. & Rajendran, B., 2024, p. 31-35. 5 p.

  Research output: Contribution to conference types › Paper › peer-review

  Open Access

  • Neural Network 100%
  • Power Efficiency 50%
  • Computing Platform 50%
  • Attention (Machine Learning) 50%
  • Memory Access 50%
  2 Citations (Scopus)
• 2023

  A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems

  Ruah, C., Simeone, O. & Al-Hashimi, B., 1 Oct 2023, In: IEEE Journal on Selected Areas in Communications. 41, 10, p. 3146-3160 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Wireless System 100%
  • Digital Twin 100%
  • Bayesian Framework 100%
  • Anomaly Detection 11%
  • Test Algorithm 11%
  19 Citations (Scopus)

  56 Downloads (Pure)

• Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management

  Zhang, Y., Simeone, O., Jose, S. T., Maggi, L. & Valcarce, A., 1 Oct 2023, In: IEEE Transactions on Cognitive Communications and Networking. 9, 5, p. 1282-1295 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Radio Resource Management 100%
  • Meta-Learning 100%
  • Resource Allocation 100%
  • Knowledge Transfer 66%
  • Network Configuration 33%
  10 Citations (Scopus)

  60 Downloads (Pure)

• Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity

  Katti, P., Skatchkovsky, N., Simeone, O., Rajendran, B. & Al-Hashimi, B. M., 2023.

  Research output: Contribution to conference types › Poster › peer-review

  • Neural Network 100%
  • Phase Change Memory 100%
  • Nanoscale 100%
  • Computer Hardware 66%
  • Hardware Implementation 33%
  2 Citations (Scopus)

• Calibrating AI Models for Wireless Communications via Conformal Prediction

  Cohen, K. M., Park, S., Simeone, O. & Shamai, S., 25 Sept 2023, (E-pub ahead of print) In: IEEE Transactions on Machine Learning in Communications and Networking.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Wireless Communication 100%
  • Conformal Prediction 100%
  • Artificial Intelligence Model 100%
  • Confidence Level 50%
  • Underlying Distribution 50%

• Compressed Particle-Based Federated Bayesian Learning and Unlearning

  Gong, J., Simeone, O. & Kang, J., 1 Feb 2023, In: IEEE COMMUNICATIONS LETTERS. 27, 2, p. 556-560 5 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Experimental Result 100%
  • Model Parameter 100%
  • Learning Scheme 100%
  • Bayesian Learning 100%
  • Federated Learning 100%
  4 Citations (Scopus)

  61 Downloads (Pure)

• Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction

  Cohen, K. M., Park, S., Simeone, O., Popovski, P. & Shamai, S., 2023, In: IEEE SIGNAL PROCESSING LETTERS. 30, p. 473-477 5 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Communication Latency 100%
  • Conformal Prediction 100%
  • Packet Traffic 42%
  • Allocating Resource 14%
  • Mobile Broadband 14%
  4 Citations (Scopus)

  75 Downloads (Pure)

• Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems

  Zhu, M., Feng, C., Guo, C., Jiang, N. & Simeone, O., 2023, In: IEEE SIGNAL PROCESSING LETTERS. 30, p. 403-407 5 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Internet-Of-Things 100%
  • Multiple Access 100%
  • Code Book 33%
  • Maximum Likelihood 11%
  • Joint Design 11%
  4 Citations (Scopus)

  51 Downloads (Pure)

• Network Topology Inference Based on Timing Meta-Data

  Du, W., Tan, T., Zhang, H., Cao, X., Yan, G. & Simeone, O., 1 Jun 2023, In: IEEE Transactions on Communications. 71, 6, p. 3263-3273 11 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Network Topology 100%
  • Metadata 100%
  • Acknowledgment Packet 66%
  • Loss of Packet 33%
  • Wireless Sensor Network 33%
  3 Citations (Scopus)

  56 Downloads (Pure)

• Neuromorphic Integrated Sensing and Communications

  Chen, J., Skatchkovsky, N. & Simeone, O., 1 Mar 2023, In: IEEE Wireless Communications Letters. 12, 3, p. 476-480 5 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Neural Network 100%
  • impulse radio 100%
  • Radar Target 100%
  • Neuromorphic Computing 100%
  • Performance Metric 50%
  14 Citations (Scopus)

  91 Downloads (Pure)

• Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference

  Chen, J., Skatchkovsky, N. & Simeone, O., 1 Apr 2023, In: IEEE Transactions on Cognitive Communications and Networking. 9, 2, p. 252-265 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Neural Network 100%
  • Semantic Communications 100%
  • Radio Transmitter 100%
  • impulse radio 50%
  • Fading Channel 50%
  28 Citations (Scopus)

  114 Downloads (Pure)

• Online Meta-Learning For Hybrid Model-Based Deep Receivers

  Raviv, T., Park, S., Simeone, O., Eldar, Y. C. & Shlezinger, N., 1 Oct 2023, In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 22, 10, p. 6415-6431 17 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Deep Neural Network 100%
  • Meta-Learning 100%
  • Complex Environment 33%
  • Learning Scheme 33%
  • Dynamic Nature 33%
  24 Citations (Scopus)

  106 Downloads (Pure)

• Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications

  Chittoor, H. H. S. & Simeone, O., 14 Dec 2023, (E-pub ahead of print) In: Entropy. 25, 2, 352.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Learning System 100%
  • Entanglement 100%
  • Quantum State 100%
  • Quantum Entanglement 100%
  • Machine Learning 100%
  2 Citations (Scopus)

• Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications

  Zecchin, M., Park, S., Simeone, O., Kountouris, M. & Gesbert, D., 1 Aug 2023, In: IEEE Transactions on Cognitive Communications and Networking. 9, 4, p. 897-912 16 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Bayesian Learning 100%
  • Artificial Intelligence 100%
  • Misspecification 100%
  • Learning System 100%
  • Wireless Communication 60%
  8 Citations (Scopus)

  89 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%

• AI-Based Channel Prediction in D2D Links: An Empirical Validation

  Simmons, N., Ferreira Gomes, S. B., Yacoub, M. D., Simeone, O., Cotton, S. L. & Simmons, D. E., 2022, In: IEEE Access. 10, p. 65459-65472 14 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Recurrent 100%
  • Artificial Intelligence 100%
  • Lstm 100%
  • Gated Recurrent Unit 100%
  • Feedforward 66%
  13 Citations (Scopus)

  75 Downloads (Pure)

• An Information-Theoretic Analysis of the Cost of Decentralization for Learning and Inference under Privacy Constraints

  Jose, S. T. & Simeone, O., Apr 2022, In: Entropy. 24, 4, 485.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Theoretic Analysis 100%
  • Federated Learning 100%
  • Supervised Learning 50%
  • Multiple Agents 50%
  • Learning Phase 50%

• An Introduction to Quantum Machine Learning for Engineers

  Simeone, O., 27 Jul 2022, In: Foundations and Trends in Signal Processing. 16, 1-2, p. 1-223 223 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Machine Learning 100%
  • Learning System 100%
  • Quantum Computer 20%
  • Quantum Operation 20%
  29 Citations (Scopus)

• 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)

• Bayesian Active Meta-Learning for Reliable and Efficient AI-Based Demodulation

  Cohen, K. M., Park, S., Simeone, O. & Shamai, S., 11 Nov 2022, (E-pub ahead of print) In: IEEE Transactions on Signal Processing. 70, p. 5366-5380

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Meta-Learning 100%
  • Artificial Intelligence 100%
  • Communication Network 20%
  • Learning Process 16%
  • Use Case 16%
  10 Citations (Scopus)

  39 Downloads (Pure)

• Bayesian continual learning via spiking neural networks

  Skatchkovsky, N., Jang, H. & Simeone, O., 16 Nov 2022, (E-pub ahead of print) In: Frontiers in Computational Neuroscience. 16

  Research output: Contribution to journal › Article › peer-review

  Open Access
  10 Citations (Scopus)

• Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms

  Pantazi, A., Rajendran, B., Simeone, O. & Neftci, E., 25 Jul 2022, In: Frontiers in Neuroscience. 16, 974627.

  Research output: Contribution to journal › Editorial › peer-review

  Open Access

  File
  2 Citations (Scopus)

  97 Downloads (Pure)

• Error-Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis

  Jose, S. T. & Simeone, O., 16 Dec 2022, (E-pub ahead of print) In: IEEE Transactions on Quantum Engineering. 3, p. 1-19

  Research output: Contribution to journal › Article › peer-review

  Open Access

  • Quantum Circuit 100%
  • Quantum Error 100%
  • Gradient Descent 100%
  • Quantum Computer 100%
  • Quantum Dot 100%
  6 Citations (Scopus)

• Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent

  Kassab, R. & Simeone, O., 2022, In: IEEE Transactions on Signal Processing. 70, p. 2180-2192 13 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Bayesian 100%
  • Gradient Descent 100%
  • Bayesian Learning 100%
  • Frequentist 50%
  • Parametric 50%
  20 Citations (Scopus)

  197 Downloads (Pure)

• 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 How to Transfer from Uplink to Downlink via Hyper-Recurrent Neural Network for FDD Massive MIMO

  Liu, Y. & Simeone, O., 1 Oct 2022, In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 21, 10, p. 7975-7989 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Division Duplex 100%
  • Massive MIMO 100%
  • Frequency Division 100%
  • Beamforming 100%
  • Deep Learning Method 100%
  13 Citations (Scopus)

  189 Downloads (Pure)

• 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

  • Sampled Dataset 100%

• 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%
  3 Citations (Scopus)

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

  Nikoloska, I. & Simeone, O., 8 Aug 2022, (E-pub ahead of print) In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Graph Neural Network 100%
  • Meta-Learning 100%
  • Channel State Information 33%
  • Component Form 33%
  • Gradient Descent 16%
  22 Citations (Scopus)

  33 Downloads (Pure)

• Multisample Online Learning for Probabilistic Spiking Neural Networks

  Jang, H. & Simeone, O., 1 May 2022, In: IEEE Transactions on Neural Networks and Learning Systems. 33, 5, p. 2034-2044 11 p.

  Research output: Contribution to journal › Article › peer-review

  • Neural Network 100%
  • Electronic Learning 100%
  • Neural Network Model 40%
  • Generalized Expectation 40%
  • Approximation (Algorithm) 20%
  6 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

  • Flat Fading 100%
  • Fading Channel 100%
  • Linear Filter 100%
  • Gradient Descent 25%
  • Cellular Network 25%
  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 Access 100%
  • MIMO Systems 100%
  • Channel State Information 100%
  • Performance Gain 20%
  • Multiple Access Scheme 20%
  7 Citations (Scopus)

• Spiking Generative Adversarial Networks With a Neural Network Discriminator: Local Training, Bayesian Models, and Continual Meta-Learning

  Rosenfeld, B., Simeone, O. & Rajendran, B., 1 Nov 2022, In: IEEE TRANSACTIONS ON COMPUTERS. 71, 11, p. 2778-2791

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Neural Network 100%
  • Discriminator 100%
  • Generative Adversarial Networks 100%
  • Meta-Learning 100%
  • Bayesian Model 100%
  17 Citations (Scopus)

  61 Downloads (Pure)

• Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization

  Nikoloska, I. & Simeone, O., 2022, In: IEEE SIGNAL PROCESSING LETTERS. 29, p. 977-981 5 p.

  Research output: Contribution to journal › Article › peer-review

  • Joints (Structural Components) 100%
  • Optimization Approach 100%
  • Hybrid Layer 100%
  • Exhaustive Search 100%
  • Single Neuron 100%
  6 Citations (Scopus)

• Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization

  Jose, S. T., Simeone, O. & Durisi, G., 1 Jan 2022, In: IEEE TRANSACTIONS ON INFORMATION THEORY. 68, 1, p. 474-501 28 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Meta Information 100%
  • Task Environment 100%
  • Risk Minimization 100%
  • Meta-Learning 100%
  • training algorithm 16%
  13 Citations (Scopus)

  116 Downloads (Pure)

• Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy

  Liu, D. & Simeone, O., 2022, (E-pub ahead of print) In: IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. p. 1-1

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File
  6 Citations (Scopus)

  70 Downloads (Pure)
• 2021

  Adaptive Coding and Channel Shaping Through Reconfigurable Intelligent Surfaces: An Information-Theoretic Analysis

  Karasik, R., Simeone, O., Di Renzo, M. & Shamai, S., 1 Nov 2021, In: IEEE TRANSACTIONS ON COMMUNICATIONS. 69, 11, p. 7320-7334 15 p.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Theoretic Analysis 100%
  • Channel State Information 100%
  • Adaptive Coding 100%
  • Channel Estimation 50%
  • Communication Link 50%
  25 Citations (Scopus)

  124 Downloads (Pure)

• 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

  • Variational Principle 100%
  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

  • Neural Network 100%
  • Bayesian Learning 100%
  • Synaptic Weight 100%
  • Neural Network Model 50%
  • Energy Efficient 50%
  14 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)

• Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers

  Liu, D. & Simeone, O., 6 Oct 2021, (E-pub ahead of print) In: IEEE Journal on Selected Areas in Communications. p. 1-1

  Research output: Contribution to journal › Article › peer-review

  • Continual Learning 100%
  7 Citations (Scopus)

• Coded Computing and Cooperative Transmission for Wireless Distributed Matrix Multiplication

  Li, K., Tao, M., Zhang, J. & Simeone, O., Apr 2021, In: IEEE TRANSACTIONS ON COMMUNICATIONS. 69, 4, p. 2224-2239 16 p., 9328810.

  Research output: Contribution to journal › Article › peer-review

  • Matrix Multiplication 100%
  • Computation Time 100%
  • Task Offloading 66%
  • Wireless Channel 33%
  • Noise-to-Signal Ratio 33%
  20 Citations (Scopus)

• Collaborative Cloud and Edge Mobile Computing in C-RAN Systems with Minimal End-to-End Latency

  Park, S.-H., Jeong, S., Na, J., Simeone, O. & Shamai Shitz, S., 6 Apr 2021, (E-pub ahead of print) In: IEEE Transactions on Signal Processing. 7, p. 259-274 16 p., 9397373.

  Research output: Contribution to journal › Article › peer-review

  Open Access

  File

  • Mobile Device 100%
  • Multi-Access Edge Computing 100%
  • Fractional Programming 100%
  • Mobile Cloud Computing 100%
  • Radio Access Network 100%
  22 Citations (Scopus)

  117 Downloads (Pure)