FedSpeed: Larger Local Interval, Less Communication Round, and Higher
Generalization Accuracy

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

21 February 2023

Li Shen

Tiansheng Huang

Liang Ding

Papers citing "FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy"

9 / 9 papers shown

Title
A Unified Benchmark of Federated Learning with Kolmogorov-Arnold Networks for Medical Imaging Youngjoon Lee J. Gong Joonhyuk Kang FedML 50 1 0 28 Apr 2025
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 21 0 0 09 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 25 0 0 27 Sep 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 19 13 0 10 Feb 2024
Distributed Personalized Empirical Risk Minimization Yuyang Deng Mohammad Mahdi Kamani Pouria Mahdavinia M. Mahdavi 23 4 0 26 Oct 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape Yan Sun Li Shen Shi-Yong Chen Liang Ding Dacheng Tao FedML 34 33 0 19 May 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy Yi Shi Kang Wei Li Shen Yingqi Liu Xueqian Wang Bo Yuan Dacheng Tao FedML 28 2 0 01 May 2023
Robust Generalization against Photon-Limited Corruptions via Worst-Case Sharpness Minimization Zhuo Huang Miaoxi Zhu Xiaobo Xia Li Shen Jun Yu Chen Gong Bo Han Bo Du Tongliang Liu 32 31 0 23 Mar 2023
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 153 459 0 01 May 2021