FedDec: Peer-to-peer Aided Federated Learning

FedDec: Peer-to-peer Aided Federated Learning

11 June 2023

Marina Costantini

Giovanni Neglia

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Papers citing "FedDec: Peer-to-peer Aided Federated Learning"

15 / 15 papers shown

Title
Connectivity-Aware Semi-Decentralized Federated Learning over Time-Varying D2D Networks Rohit Parasnis Seyyedali Hosseinalipour Yun-Wei Chu M. Chiang Christopher G. Brinton FedML 58 17 0 15 Mar 2023
Semi-Decentralized Federated Learning with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 66 32 0 23 May 2022
Efficient and Less Centralized Federated Learning Li Chou Zichang Liu Zhuang Wang Anshumali Shrivastava FedML 39 18 0 11 Jun 2021
Accelerating Gossip SGD with Periodic Global Averaging Yiming Chen Kun Yuan Yingya Zhang Pan Pan Yinghui Xu W. Yin 57 44 0 19 May 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations F. Lin Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi FedML 73 112 0 18 Mar 2021
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi Vaneet Aggarwal David J. Love H. Dai 69 92 0 18 Jul 2020
A Unified Theory of Decentralized SGD with Changing Topology and Local Updates Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi Sebastian U. Stich FedML 85 506 0 23 Mar 2020
Decentralized gradient methods: does topology matter? Giovanni Neglia Chuan Xu Don Towsley G. Calbi 62 50 0 28 Feb 2020
Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication Anastasia Koloskova Sebastian U. Stich Martin Jaggi FedML 79 511 0 01 Feb 2019
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks César A. Uribe Soomin Lee Alexander Gasnikov A. Nedić 54 137 0 03 Sep 2018
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 176 1,063 0 24 May 2018
Optimal algorithms for smooth and strongly convex distributed optimization in networks Kevin Scaman Francis R. Bach Sébastien Bubeck Y. Lee Laurent Massoulié 72 330 0 28 Feb 2017
CoCoA: A General Framework for Communication-Efficient Distributed Optimization Virginia Smith Simone Forte Chenxin Ma Martin Takáč Michael I. Jordan Martin Jaggi 76 273 0 07 Nov 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 17,486 0 17 Feb 2016
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 201 2,273 0 28 Jun 2011