DONE: Distributed Approximate Newton-type Method for Federated Edge
Learning

DONE: Distributed Approximate Newton-type Method for Federated Edge Learning

10 December 2020

Tuan Dung Nguyen

Albert Y. Zomaya

Papers citing "DONE: Distributed Approximate Newton-type Method for Federated Edge Learning"

8 / 8 papers shown

Title
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 75 0 0 02 Dec 2024
Scalable and Resource-Efficient Second-Order Federated Learning via Over-the-Air Aggregation Abdulmomen Ghalkha Chaouki Ben Issaid Mehdi Bennis 29 0 0 10 Oct 2024
Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm Ahmed Elbakary Chaouki Ben Issaid Mohammad Shehab Karim G. Seddik Tamer A. ElBatt Mehdi Bennis 39 2 0 10 Jun 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian Mrinmay Sen A. K. Qin Krishna Mohan FedML 32 0 0 16 Mar 2024
Q-SHED: Distributed Optimization at the Edge via Hessian Eigenvectors Quantization Nicolò Dal Fabbro M. Rossi Luca Schenato S. Dey 23 0 0 18 May 2023
Network-GIANT: Fully distributed Newton-type optimization via harmonic Hessian consensus A. Maritan Ganesh Sharma Luca Schenato S. Dey 25 2 0 13 May 2023
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing Nicolò Dal Fabbro S. Dey M. Rossi Luca Schenato FedML 29 14 0 11 Feb 2022
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018