Learning from History for Byzantine Robust Optimization
Sai Praneeth Karimireddy 1 Lie He 1 Martin Jaggi 1
Abstract trying to derail the process, or might simply be malfunc-
tioning and hence sending arbitrary messages. Ensuring
Byzantine robustness has received significant at- that our training procedure is robust to a small fraction of
tention recently given its importance for dis- such potentially m ...


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