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cs.LG2023
Adaptive pruning-based Newton's method for distributed learning
Shuzhen Chen, Yuan Yuan, Youming Tao +3
Newton's method leverages curvature information to boost performance, and thus outperforms first-order methods for distributed learning problems. However, Newton's method is not pr…
cs.LG2022
Collaborative Learning in General Graphs with Limited Memorization: Complexity, Learnability, and Reliability
Feng Li, Xuyang Yuan, Lina Wang +4
We consider a K-armed bandit problem in general graphs where agents are arbitrarily connected and each of them has limited memorizing capabilities and communication bandwidth. The…