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

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Original language	English
Pages (from-to)	1-1
Journal	IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
Early online date	2022
DOIs	https://doi.org/10.1109/TWC.2022.3215663
Publication status	E-pub ahead of print - 2022

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title = "Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy",

author = "Dongzhu Liu and Osvaldo Simeone",

year = "2022",

doi = "10.1109/TWC.2022.3215663",

language = "English",

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journal = "IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS",

issn = "1536-1276",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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T1 - Wireless Federated Langevin Monte Carlo: Repurposing Channel Noise for Bayesian Sampling and Privacy

AU - Liu, Dongzhu

AU - Simeone, Osvaldo

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DO - 10.1109/TWC.2022.3215663

M3 - Article

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JO - IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

JF - IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS

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