108 citations · 158 across the 43 of their papers we have counts for
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cs.DC2021
Communication-Efficient Federated Learning via Quantized Compressed Sensing
Yongjeong Oh, Namyoon Lee, Yo-Seb Jeon +1
In this paper, we present a communication-efficient federated learning framework inspired by quantized compressed sensing. The presented framework consists of gradient compression…
cs.LG2021★ 2 cited
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization
Kang Wei, Jun Li, Ming Ding +3
Federated learning (FL), as a type of distributed machine learning frameworks, is vulnerable to external attacks on FL models during parameters transmissions. An attacker in FL may…