Tighter Regret Analysis and Optimization of Online Federated Learning

13 May 2022

Papers citing "Tighter Regret Analysis and Optimization of Online Federated Learning"

8 / 8 papers shown

Title
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum Yuan Zhou Xinli Shi Xuelong Li Jiachen Zhong G. Wen Jinde Cao FedML 39 0 0 17 Apr 2025
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 70 0 0 02 Dec 2024
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups Fengyu Gao Ruiquan Huang Jing Yang FedML 30 0 0 27 Sep 2024
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks Md Ferdous Pervej Minseok Choi A. Molisch 33 0 0 12 Aug 2024
Online Vertical Federated Learning for Cooperative Spectrum Sensing Heqiang Wang Jie Xu 11 3 0 18 Dec 2023
Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing Xuwei Yang Anastasis Kratsios Florian Krach Matheus Grasselli Aurélien Lucchi FedML 21 2 0 08 Sep 2023
Federated Learning: Opportunities and Challenges P. Mammen FedML 44 211 0 14 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 157 760 0 28 Sep 2019