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20202024
most citedFedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning

3 citations · 5 across the 5 of their papers we have counts for

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cs.LG2024

Ordered Momentum for Asynchronous SGD

Chang-Wei Shi, Yi-Rui Yang, Wu-Jun Li

Distributed learning is essential for training large-scale deep models. Asynchronous SGD (ASGD) and its variants are commonly used distributed learning methods, particularly in sce…

cs.CR2024

Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning

Kun Wang, Yi-Rui Yang, Wu-Jun Li

Asynchronous federated learning (AFL) is an effective method to address the challenge of device heterogeneity in cross-device federated learning. However, AFL is usually incompatib…