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cs.LG2025
High-probability zeroth-order online convex optimisation beyond Euclidean geometry
David Janz, El-Mahdi El-Mhamdi, Arya Akhavan
We study online convex optimisation with -Lipschitz losses, -regularised FTRL, and randomised two-point finite-difference gradient estimators based on cone-measure…
cs.LG2025
On the Byzantine Fault Tolerance of signSGD with Majority Vote
Emanuele Mengoli, Luzius Moll, Virgilio Strozzi +1
In distributed learning, sign-based compression algorithms such as signSGD with majority vote provide a lightweight alternative to SGD with an additional advantage: fault tolerance…