To address the communication bottleneck prob- lem in distributed optimization within a master- worker framework, we propose LocalNewton, a.
May 16, 2021 · We propose LocalNewton, a distributed second-order algorithm with local averaging. In LocalNewton, the worker machines update their model in every iteration.
Reducing Communication Bottleneck for Distributed Learning
www.researchgate.net › publication › 35...
Sep 9, 2024 · In LocalNewton, the worker machines update their model in every iteration by finding a suitable second-order descent direction using only the ...
May 16, 2021 · To address the communication bottleneck problem in distributed optimization within a master-worker framework, we propose LocalNewton, ...
May 16, 2021 · This work proposes LocalNewton, a distributed second-order algorithm with local averaging, and devise an adaptive scheme to choose L that ...
This work proposes LocalNewton, a distributed second-order algorithm with local averaging that requires fewer than 60% of the communication rounds (between ...
On-demand video platform giving you access to lectures from conferences worldwide.
LocalNewton: Reducing Communication Rounds for Distributed Learning ... reducing the communication rounds by at least 60% to reach the same training loss ...
Missing: Bottleneck | Show results with:Bottleneck
LocalNewton: Reducing Communication Bottleneck for Distributed Learning · Improved guarantees and a multiple-descent curve for Column Subset Selection and the ...
Jun 7, 2021 · Authors demonstrated a second-order optimization method and incorporated the curvature information to reduce the communication cost. Algorithm.