Federated Empirical Risk Minimization via Second-Order Method

27 May 2023

Papers citing "Federated Empirical Risk Minimization via Second-Order Method"

9 / 9 papers shown

Title
Scaling Law Phenomena Across Regression Paradigms: Multiple and Kernel Approaches Yifang Chen Xuyang Guo Xiaoyu Li Yingyu Liang Zhenmei Shi Zhao-quan Song 70 3 0 03 Mar 2025
A Fast Optimization View: Reformulating Single Layer Attention in LLM Based on Tensor and SVM Trick, and Solving It in Matrix Multiplication Time Yeqi Gao Zhao-quan Song Weixin Wang Junze Yin 20 25 0 14 Sep 2023
An Iterative Algorithm for Rescaled Hyperbolic Functions Regression Yeqi Gao Zhao-quan Song Junze Yin 28 33 0 01 May 2023
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time Yuzhou Gu Zhao-quan Song Junze Yin Licheng Zhang 16 26 0 21 Feb 2023
A Faster $k$ -means++ Algorithm Jiehao Liang Somdeb Sarkhel Zhao-quan Song Chenbo Yin Junze Yin Danyang Zhuo 21 5 0 28 Nov 2022
Federated Adversarial Learning: A Framework with Convergence Analysis Xiaoxiao Li Zhao-quan Song Jiaming Yang FedML 27 19 0 07 Aug 2022
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 787 0 15 Feb 2021
Symmetric Sparse Boolean Matrix Factorization and Applications Sitan Chen Zhao-quan Song Runzhou Tao Ruizhe Zhang 38 5 0 02 Feb 2021
The Future of Digital Health with Federated Learning Nicola Rieke Jonny Hancox Wenqi Li Fausto Milletari H. Roth ... Ronald M. Summers Andrew Trask Daguang Xu Maximilian Baust M. Jorge Cardoso OOD 174 1,707 0 18 Mar 2020