Federated Learning Challenges and Opportunities: An Outlook

Federated Learning Challenges and Opportunities: An Outlook

1 February 2022

Anit Kumar Sahu

Salman Avestimehr

Papers citing "Federated Learning Challenges and Opportunities: An Outlook"

8 / 8 papers shown

Title
Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks Youngjoon Lee J. Gong Joonhyuk Kang 54 0 0 31 Oct 2024
A Framework for Incentivized Collaborative Learning Xinran Wang Qi Le Ahmad Faraz Khan Jie Ding A. Anwar FedML 42 4 0 26 May 2023
Pruning Deep Neural Networks from a Sparsity Perspective Enmao Diao G. Wang Jiawei Zhan Yuhong Yang Jie Ding Vahid Tarokh 27 30 0 11 Feb 2023
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Irene Wang 32 1 0 30 Aug 2022
Nebula-I: A General Framework for Collaboratively Training Deep Learning Models on Low-Bandwidth Cloud Clusters Yang Xiang Zhihua Wu Weibao Gong Siyu Ding Xianjie Mo ... Yue Yu Ge Li Yu Sun Yanjun Ma Dianhai Yu 24 5 0 19 May 2022
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 214 546 0 30 Mar 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017