2024 "hessian approximation" Papers

Dynamic Anisotropic Smoothing for Noisy Derivative-Free Optimization

Sam Reifenstein, Timothee Leleu, Yoshihisa Yamamoto

Effective Federated Graph Matching

Yang Zhou, Zijie Zhang, Zeru Zhang et al.

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments

Han Wang, Sihong He, Zhili Zhang et al.