EdgeML: Towards Network-Accelerated Federated Learning over Wireless
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EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge

14 October 2021

Pinyarash Pinyoanuntapong

Prabhu Janakaraj

Ravikumar Balakrishnan

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Papers citing "EdgeML: Towards Network-Accelerated Federated Learning over Wireless Edge"

13 / 13 papers shown

Title
Client Selection Approach in Support of Clustered Federated Learning over Wireless Edge Networks A. Albaseer M. Abdallah Ala I. Al-Fuqaha A. Erbad 50 32 0 16 Aug 2021
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 234 577 0 27 Jul 2020
A Joint Learning and Communications Framework for Federated Learning over Wireless Networks Mingzhe Chen Zhaohui Yang Walid Saad Changchuan Yin H. Vincent Poor Shuguang Cui FedML 76 1,189 0 17 Sep 2019
Federated Learning over Wireless Fading Channels M. Amiri Deniz Gunduz 110 510 0 23 Jul 2019
On the Linear Speedup Analysis of Communication Efficient Momentum SGD for Distributed Non-Convex Optimization Hao Yu Rong Jin Sen Yang FedML 91 386 0 09 May 2019
Asynchronous Federated Optimization Cong Xie Oluwasanmi Koyejo Indranil Gupta FedML 81 568 0 10 Mar 2019
Broadband Analog Aggregation for Low-Latency Federated Edge Learning (Extended Version) Guangxu Zhu Yong Wang Kaibin Huang FedML 69 645 0 30 Dec 2018
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 180 5,208 0 14 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 149 1,422 0 03 Dec 2018
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu Sen Yang Shenghuo Zhu MoMe FedML 79 608 0 17 Jul 2018
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 202 8,875 0 04 Feb 2016
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 273 685 0 07 Dec 2010

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