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 ...