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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…