Understanding How Consistency Works in Federated Learning via Stage-wise
Relaxed Initialization

Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization

9 June 2023

Li Shen

Papers citing "Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization"

8 / 8 papers shown

Title
Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization Dun Zeng Zheshun Wu Shiyu Liu Yu Pan Xiaoying Tang Zenglin Xu MLT FedML 82 1 0 25 Nov 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 14 0 0 09 Oct 2024
A-FedPD: Aligning Dual-Drift is All Federated Primal-Dual Learning Needs Yan Sun Li Shen Dacheng Tao FedML 18 0 0 27 Sep 2024
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks Hao Sun Li Shen Qihuang Zhong Liang Ding Shi-Yong Chen Jingwei Sun Jing Li Guangzhong Sun Dacheng Tao 41 31 0 01 Mar 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 40 12 0 21 Feb 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 29 51 0 21 Feb 2023
Layer-wise and Dimension-wise Locally Adaptive Federated Learning Belhal Karimi Ping Li Xiaoyun Li FedML 23 3 0 01 Oct 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients Yue Tan Guodong Long Lu Liu Tianyi Zhou Qinghua Lu Jing Jiang Chengqi Zhang FedML 151 455 0 01 May 2021