Efficient Device Scheduling with Multi-Job Federated Learning

11 December 2021

Papers citing "Efficient Device Scheduling with Multi-Job Federated Learning"

9 / 9 papers shown

Title
Fairness-Aware Job Scheduling for Multi-Job Federated Learning Yuxin Shi Han Yu FedML 25 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 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 31 0 10 Dec 2023
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 33 2 0 31 Aug 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
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022
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
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 326 4,223 0 23 Aug 2019
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016