Device Sampling for Heterogeneous Federated Learning: Theory,
Algorithms, and Implementation

Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation

4 January 2021

Seyyedali Hosseinalipour

Roberto Morabito

Christopher G. Brinton

Papers citing "Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation"

6 / 6 papers shown

Title
FedEx: Expediting Federated Learning over Heterogeneous Mobile Devices by Overlapping and Participant Selection Jiaxiang Geng Boyu Li Xiaoqi Qin Yixuan Li Liang Li Yanzhao Hou Miao Pan FedML 14 0 0 01 Jul 2024
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 16 8 0 10 Jul 2023
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning Xiucheng Wang Nan Cheng Longfei Ma Ruijin Sun Rong Chai Ning Lu FedML 19 11 0 10 Mar 2023
Towards Practical Few-shot Federated NLP Dongqi Cai Yaozong Wu Haitao Yuan Shangguang Wang F. Lin Mengwei Xu FedML 11 6 0 01 Dec 2022
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 145 756 0 28 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 130 1,663 0 14 Apr 2018