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20202024
most citedLayered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning

3 citations · 4 across the 6 of their papers we have counts for

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Showing 2023Show all

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cs.DC2023★ 3 cited

Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning

Guangfeng Yan, Tan Li, Tian Lan +2

Next-generation wireless networks, such as edge intelligence and wireless distributed learning, face two critical challenges: communication efficiency and privacy protection. In th…

cs.LG2023

Killing Two Birds with One Stone: Quantization Achieves Privacy in Distributed Learning

Guangfeng Yan, Tan Li, Kui Wu +1

Communication efficiency and privacy protection are two critical issues in distributed machine learning. Existing methods tackle these two issues separately and may have a high imp…