Federated Learning with Cooperating Devices: A Consensus Approach for
Massive IoT Networks

Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks

27 December 2019

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Papers citing "Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks"

15 / 15 papers shown

Title
Decentralized Federated Learning: A Segmented Gossip Approach Chenghao Hu Jingyan Jiang Zhi Wang FedML 64 186 0 21 Aug 2019
BrainTorrent: A Peer-to-Peer Environment for Decentralized Federated Learning Abhijit Guha Roy Shayan Siddiqui Sebastian Polsterl Nassir Navab Christian Wachinger FedML OOD MedIm 75 309 0 16 May 2019
Peer-to-peer Federated Learning on Graphs Anusha Lalitha O. Kilinc T. Javidi F. Koushanfar OOD FedML 117 186 0 31 Jan 2019
Communication-Efficient On-Device Machine Learning: Federated Distillation and Augmentation under Non-IID Private Data Eunjeong Jeong Seungeun Oh Hyesung Kim Jihong Park M. Bennis Seong-Lyun Kim FedML 90 602 0 28 Nov 2018
Federated Learning for Ultra-Reliable Low-Latency V2V Communications S. Samarakoon M. Bennis Walid Saad Merouane Debbah 67 228 0 11 May 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 258 1,719 0 14 Apr 2018
GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent J. Daily Abhinav Vishnu Charles Siegel T. Warfel Vinay C. Amatya 50 95 0 15 Mar 2018
Deep Learning in Mobile and Wireless Networking: A Survey Chaoyun Zhang P. Patras Hamed Haddadi 110 1,320 0 12 Mar 2018
Gossip training for deep learning Michael Blot David Picard Matthieu Cord Nicolas Thome FedML 51 114 0 29 Nov 2016
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 312 4,657 0 18 Oct 2016
Federated Optimization: Distributed Machine Learning for On-Device Intelligence Jakub Konecný H. B. McMahan Daniel Ramage Peter Richtárik FedML 145 1,909 0 08 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 410 17,615 0 17 Feb 2016
Distributed Optimization with Arbitrary Local Solvers Chenxin Ma Jakub Konecný Martin Jaggi Virginia Smith Michael I. Jordan Peter Richtárik Martin Takáč 113 197 0 13 Dec 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,364 0 22 Dec 2014
Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks Jianshu Chen Ali H. Sayed 121 656 0 31 Oct 2011

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