Web: http://arxiv.org/abs/2209.10931

Sept. 23, 2022, 1:11 a.m. | Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Lê Nguyên Hoang, Rafael Pinot, John Stephan

cs.LG updates on arXiv.org arxiv.org

Decentralized-SGD (D-SGD) distributes heavy learning tasks across multiple
machines (a.k.a., {\em nodes}), effectively dividing the workload per node by
the size of the system. However, a handful of \emph{Byzantine} (i.e.,
misbehaving) nodes can jeopardize the entire learning procedure. This
vulnerability is further amplified when the system is \emph{asynchronous}.
Although approaches that confer Byzantine resilience to D-SGD have been
proposed, these significantly impact the efficiency of the process to the point
of even negating the benefit of decentralization. This naturally raises …

arxiv decentralized making

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