Communication-Efficient Online Federated Learning Framework for
Nonlinear Regression

Communication-Efficient Online Federated Learning Framework for Nonlinear Regression

13 October 2021

Vinay Chakravarthi Gogineni

Papers citing "Communication-Efficient Online Federated Learning Framework for Nonlinear Regression"

11 / 11 papers shown

Title
Communication-Efficient Federated Learning with Compensated Overlap-FedAvg Yuhao Zhou Qing Ye Jiancheng Lv FedML 59 124 0 12 Dec 2020
Optimal Importance Sampling for Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 66 46 0 26 Oct 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 64 194 0 26 Jul 2020
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 121 4,517 0 21 Aug 2019
Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges Solmaz Niknam Harpreet S. Dhillon J. H. Reed 58 605 0 30 Jul 2019
Robust and Communication-Efficient Federated Learning from Non-IID Data Felix Sattler Simon Wiedemann K. Müller Wojciech Samek FedML 74 1,358 0 07 Mar 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 180 5,184 0 14 Dec 2018
Client Selection for Federated Learning with Heterogeneous Resources in Mobile Edge Takayuki Nishio Ryo Yonetani FedML 120 1,404 0 23 Apr 2018
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 152 1,809 0 30 May 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 306 4,646 0 18 Oct 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,468 0 17 Feb 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.