Multi-Job Intelligent Scheduling with Cross-Device Federated Learning

24 November 2022

Papers citing "Multi-Job Intelligent Scheduling with Cross-Device Federated Learning"

9 / 9 papers shown

Title
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Haoran Zhang Zejun Gong Zekai Li Marie Siew Carlee Joe-Wong Rachid El-Azouzi 28 0 0 07 Apr 2025
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 26 3 0 22 Apr 2024
Fairness-Aware Job Scheduling for Multi-Job Federated Learning Yuxin Shi Han Yu FedML 20 3 0 05 Jan 2024
On Mask-based Image Set Desensitization with Recognition Support Qilong Li Ji Liu Yifan Sun Chongsheng Zhang Dejing Dou CVBM 26 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 31 0 10 Dec 2023
Distributed and Deep Vertical Federated Learning with Big Data Ji Liu Xuehai Zhou L. Mo Shilei Ji Yuan Liao Z. Li Qinhua Gu Dejing Dou FedML 24 16 0 08 Mar 2023
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 11 43 0 20 Nov 2021
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 305 4,203 0 23 Aug 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016