FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning

27 February 2023

Papers citing "FLAG: Fast Label-Adaptive Aggregation for Multi-label Classification in Federated Learning"

8 / 8 papers shown

Title
Personalized Federated Learning using Hypernetworks Aviv Shamsian Aviv Navon Ethan Fetaya Gal Chechik FedML 98 328 0 08 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 282 855 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 251 802 0 15 Feb 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring Qiong Wu Xu Chen Zhi Zhou Junshan Zhang FedML 189 279 0 14 Dec 2020
Asymmetric Loss For Multi-Label Classification Emanuel Ben-Baruch T. Ridnik Nadav Zamir Asaf Noy Itamar Friedman M. Protter Lihi Zelnik-Manor 74 528 0 29 Sep 2020
Siloed Federated Learning for Multi-Centric Histopathology Datasets M. Andreux Jean Ogier du Terrail C. Béguier Eric W. Tramel FedML OOD AI4CE 39 114 0 17 Aug 2020
Distribution-Balanced Loss for Multi-Label Classification in Long-Tailed Datasets Tong Wu Qingqiu Huang Ziwei Liu Yu Wang Dahua Lin 43 228 0 19 Jul 2020
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 267 4,620 0 18 Oct 2016