FedGS: Federated Graph-based Sampling with Arbitrary Client Availability

25 November 2022

Papers citing "FedGS: Federated Graph-based Sampling with Arbitrary Client Availability"

7 / 7 papers shown

Title
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification Chutian Jiang Hansong Zhou Xiaonan Zhang Shayok Chakraborty FedML 41 1 0 26 Jul 2024
Selective Knowledge Sharing for Personalized Federated Learning Under Capacity Heterogeneity Zheng Wang Zheng Wang Zhaopeng Peng Zihui Wang Cheng-i Wang FedML 35 0 0 31 May 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 29 1 0 30 May 2024
Federated Learning Under Restricted User Availability Periklis Theodoropoulos Konstantinos E. Nikolakakis Dionysios S. Kalogerias FedML 18 1 0 25 Sep 2023
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 24 9 0 10 Jul 2023
FLGo: A Fully Customizable Federated Learning Platform Z. Wang Xiaoliang Fan Zhaopeng Peng Xueheng Li Ziqi Yang Mingkuan Feng Zhicheng Yang Xiao Liu Cheng-i Wang FedML 11 11 0 21 Jun 2023
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? Sheikh Shams Azam Seyyedali Hosseinalipour Qiang Qiu Christopher G. Brinton FedML 10 20 0 01 Feb 2022