Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise

14 July 2023

Papers citing "Improved Convergence Analysis and SNR Control Strategies for Federated Learning in the Presence of Noise"

6 / 6 papers shown

Title
Equitable Federated Learning with Activation Clustering Antesh Upadhyay Abolfazl Hashemi FedML 19 0 0 24 Oct 2024
Submodular Maximization Approaches for Equitable Client Selection in Federated Learning Andrés Catalino Castillo Jiménez Ege C. Kaya Lintao Ye Abolfazl Hashemi FedML 32 2 0 24 Aug 2024
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis Vishnu Pandi Chellapandi Antesh Upadhyay Abolfazl Hashemi Stanislaw H. .Zak FedML 30 2 0 20 Mar 2024
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training Chia-Yu Chen Jiamin Ni Songtao Lu Xiaodong Cui Pin-Yu Chen ... Naigang Wang Swagath Venkataramani Vijayalakshmi Srinivasan Wei Zhang K. Gopalakrishnan 27 65 0 21 Apr 2021
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples Xizixiang Wei Cong Shen FedML 36 15 0 06 Jan 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 756 0 28 Sep 2019