FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis

20 March 2024

Papers citing "FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis"

8 / 8 papers shown

Title
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication Liangqi Yuan Dong-Jun Han Vishnu Pandi Chellapandi Stanislaw H. .Zak Christopher G. Brinton 77 11 0 10 Oct 2023
Federated Learning for Connected and Automated Vehicles: A Survey of Existing Approaches and Challenges Vishnu Pandi Chellapandi Liangqi Yuan Christopher G. Brinton Stanislaw H. .Zak Ziran Wang FedML 86 81 0 21 Aug 2023
Detection of False Data Injection Attacks in Smart Grid: A Secure Federated Deep Learning Approach Yang Li Xinhao Wei Yuan Li Zhaoyang Dong M. Shahidehpour 48 202 0 02 Sep 2022
Quasi-Global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data Tao R. Lin Sai Praneeth Karimireddy Sebastian U. Stich Martin Jaggi FedML 46 101 0 09 Feb 2021
Distributed Stochastic Gradient Tracking Methods Shi Pu A. Nedić 51 288 0 25 May 2018
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 269 4,620 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 234 17,328 0 17 Feb 2016
Distributed optimization over time-varying directed graphs A. Nedić Alexander Olshevsky 47 993 0 10 Mar 2013