FedCross: Towards Accurate Federated Learning via Multi-Model
Cross-Aggregation

FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation

15 October 2022

Ming Hu

Anran Li

Yang Liu

Papers citing "FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation"

5 / 5 papers shown

Title
Fair Concurrent Training of Multiple Models in Federated Learning Marie Siew Haoran Zhang Jong-Ik Park Yuezhou Liu Yichen Ruan Lili Su Stratis Ioannidis Edmund Yeh Carlee Joe-Wong FedML 35 3 0 22 Apr 2024
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 54 72 0 12 Sep 2021
SWAD: Domain Generalization by Seeking Flat Minima Junbum Cha Sanghyuk Chun Kyungjae Lee Han-Cheol Cho Seunghyun Park Yunsung Lee Sungrae Park MoMe 216 423 0 17 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 92 946 0 03 Feb 2021
Performance Optimization for Federated Person Re-identification via Benchmark Analysis Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi FedML 76 95 0 26 Aug 2020