3 citations · 10 across the 14 of their papers we have counts for
Showing 2022 · math.OCShow all
2 papers · 2 filters
math.OC2022★ 2 cited
Exploiting higher-order derivatives in convex optimization methods
Dmitry Kamzolov, Alexander Gasnikov, Pavel Dvurechensky +2
Exploiting higher-order derivatives in convex optimization is known at least since 1970's. In each iteration higher-order (also called tensor) methods minimize a regularized Taylor…
math.OC2022★ 3 cited
FLECS: A Federated Learning Second-Order Framework via Compression and Sketching
Artem Agafonov, Dmitry Kamzolov, Rachael Tappenden +2
Inspired by the recent work FedNL (Safaryan et al, FedNL: Making Newton-Type Methods Applicable to Federated Learning), we propose a new communication efficient second-order framew…