Federated Asymptotics: a model to compare federated learning algorithms

16 August 2021

Papers citing "Federated Asymptotics: a model to compare federated learning algorithms"

9 / 9 papers shown

Title
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 30 0 0 11 Oct 2024
Collaborative Learning with Different Labeling Functions Yuyang Deng Mingda Qiao 48 0 0 16 Feb 2024
A review of federated learning in renewable energy applications: Potential, challenges, and future directions Albin Grataloup Stefan Jonas Angela Meyer 43 3 0 18 Dec 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning Mingjia Shi Yuhao Zhou Kai Wang Huaizheng Zhang Shudong Huang Qing Ye Jiangcheng Lv 29 10 0 13 Oct 2023
Utilizing Free Clients in Federated Learning for Focused Model Enhancement Aditya Narayan Ravi Ilan Shomorony FedML 38 0 0 06 Oct 2023
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach Yue Tan Guodong Long Jie Ma Lu Liu Tianyi Zhou Jing Jiang FedML 43 169 0 21 Sep 2022
Collaborative Algorithms for Online Personalized Mean Estimation Mahsa Asadi A. Bellet Odalric-Ambrym Maillard Marc Tommasi FedML 53 4 0 24 Aug 2022
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 168 566 0 27 Jul 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 428 11,715 0 09 Mar 2017