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BRIDGE: Byzantine-resilient Decentralized Gradient Descent. (arXiv:1908.08098v3 [stat.ML] UPDATED)
Web: http://arxiv.org/abs/1908.08098
June 16, 2022, 1:12 a.m. | Cheng Fang, Zhixiong Yang, Waheed U. Bajwa
stat.ML updates on arXiv.org arxiv.org
Machine learning has begun to play a central role in many applications. A
multitude of these applications typically also involve datasets that are
distributed across multiple computing devices/machines due to either design
constraints (e.g., multiagent systems) or computational/privacy reasons (e.g.,
learning on smartphone data). Such applications often require the learning
tasks to be carried out in a decentralized fashion, in which there is no
central server that is directly connected to all nodes. In real-world
decentralized settings, nodes are prone …
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