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BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers. (arXiv:2110.09660v2 [cs.LG] UPDATED)
Feb. 11, 2022, 2:20 a.m. | Xin Fan, Yue Wang, Yan Huo, Zhi Tian
cs.CR updates on arXiv.org arxiv.org
As a promising distributed learning technology, analog aggregation based
federated learning over the air (FLOA) provides high communication efficiency
and privacy provisioning under the edge computing paradigm. When all edge
devices (workers) simultaneously upload their local updates to the parameter
server (PS) through commonly shared time-frequency resources, the PS obtains
the averaged update only rather than the individual local ones. While such a
concurrent transmission and aggregation scheme reduces the latency and
communication costs, it unfortunately renders FLOA vulnerable to …
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