FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity

21 June 2022

Papers citing "FedHiSyn: A Hierarchical Synchronous Federated Learning Framework for Resource and Data Heterogeneity"

8 / 8 papers shown

Title
On Mask-based Image Set Desensitization with Recognition Support Qilong Li Ji Liu Yifan Sun Chongsheng Zhang Dejing Dou CVBM 28 3 0 14 Dec 2023
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-aware Model Update Ji Liu Juncheng Jia Tianshi Che Chao Huo Jiaxiang Ren Yang Zhou H. Dai Dejing Dou 24 32 0 10 Dec 2023
Distributed and Deep Vertical Federated Learning with Big Data Ji Liu Xuehai Zhou L. Mo Shilei Ji Yuan Liao Zhu Li Qinhua Gu Dejing Dou FedML 24 17 0 08 Mar 2023
Subspace based Federated Unlearning Guang-Ming Li Li Shen Yan Sun Yuejun Hu Han Hu Dacheng Tao MU FedML 28 20 0 24 Feb 2023
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources Ji Liu Daxiang Dong Xi Wang An Qin Xingjian Li P. Valduriez Dejing Dou Dianhai Yu 34 6 0 14 Jul 2022
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments Ji Liu Zhihua Wu Dianhai Yu Yanjun Ma Danlei Feng Minxu Zhang Xinxuan Wu Xuefeng Yao Dejing Dou 18 44 0 20 Nov 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 101 950 0 03 Feb 2021
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 131 157 0 22 Jul 2020