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Adversary-Robust Learning from Fully Asynchronous Directional Derivative Estimates
FAR-SIGN enables adversary-resilient fully asynchronous parameter-server optimization via signed directional updates with two-timescale bias correction, achieving near-optimal convergence rates for nonconvex objectives.
Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026
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