Asynchronous Multi-Model Dynamic Federated Learning over Wireless
Networks: Theory, Modeling, and Optimization

Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization

22 May 2023

Seyyedali Hosseinalipour

Christopher G. Brinton

Papers citing "Asynchronous Multi-Model Dynamic Federated Learning over Wireless Networks: Theory, Modeling, and Optimization"

18 / 18 papers shown

Title
Delay-Aware Hierarchical Federated Learning F. Lin Seyyedali Hosseinalipour Nicolò Michelusi Christopher G. Brinton FedML 50 11 0 22 Mar 2023
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression François Gauthier Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 36 9 0 27 Nov 2021
Successive Convex Approximation Based Off-Policy Optimization for Constrained Reinforcement Learning Chang Tian An Liu Guang-Li Huang Wu Luo 33 12 0 26 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 63 112 0 18 Mar 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 144 980 0 03 Feb 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 111 112 0 04 Jan 2021
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks Minh N. H. Nguyen N. H. Tran Y. Tun Zhu Han Choong Seon Hong FedML 59 50 0 25 Nov 2020
Dynamic Federated Learning Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 82 25 0 20 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 152 568 0 19 Feb 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 115 173 0 28 Jan 2020
Clustered Federated Learning: Model-Agnostic Distributed Multi-Task Optimization under Privacy Constraints Felix Sattler K. Müller Wojciech Samek FedML 140 1,002 0 04 Oct 2019
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 166 1,061 0 24 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 242 1,706 0 14 Apr 2018
On the convergence properties of a $K$ -step averaging stochastic gradient descent algorithm for nonconvex optimization Fan Zhou Guojing Cong 129 234 0 03 Aug 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 293 4,642 0 18 Oct 2016
Asynchronous Stochastic Gradient Descent with Delay Compensation Shuxin Zheng Qi Meng Taifeng Wang Wei Chen Nenghai Yu Zhiming Ma Tie-Yan Liu 98 314 0 27 Sep 2016
Parallel and Distributed Methods for Nonconvex Optimization--Part II: Applications G. Scutari F. Facchinei Lorenzo Lampariello Peiran Song Stefania Sardellitti 40 258 0 15 Jan 2016
Distributed Optimization with Arbitrary Local Solvers Chenxin Ma Jakub Konecný Martin Jaggi Virginia Smith Michael I. Jordan Peter Richtárik Martin Takáč 82 198 0 13 Dec 2015

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