How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning

24 January 2024

Papers citing "How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning"

8 / 8 papers shown

Title
Semi-Federated Learning for Collaborative Intelligence in Massive IoT Networks Wanli Ni Jingheng Zheng Hui Tian FedML 14 28 0 09 Mar 2023
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data Yuchang Sun Jiawei Shao Yuyi Mao Jessie Hui Wang Jun Zhang FedML 26 38 0 26 Apr 2021
Gradient Matching for Domain Generalization Yuge Shi Jeffrey S. Seely Philip H. S. Torr Siddharth Narayanaswamy Awni Y. Hannun Nicolas Usunier Gabriel Synnaeve OOD 205 246 0 20 Apr 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 183 840 0 01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 784 0 15 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Q. Li Yiqun Diao Quan Chen Bingsheng He FedML OOD 85 943 0 03 Feb 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis Hong Xing Osvaldo Simeone Suzhi Bi 27 92 0 29 Jan 2021
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks Sihua Wang Mingzhe Chen Changchuan Yin Walid Saad C. Hong Shuguang Cui H. Vincent Poor 26 67 0 19 Mar 2020