BRIDGE: Byzantine-resilient Decentralized Gradient Descent

21 Aug 2019Zhixiong YangWaheed U. Bajwa

Decentralized optimization techniques are increasingly being used to learn machine learning models from data distributed over multiple locations without gathering the data at any one location. Unfortunately, methods that are designed for faultless networks typically fail in the presence of node failures... (read more)

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