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"

18 / 18 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 40 0 0 01 Jul 2024
Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning Seohyun Lee Anindya Bijoy Das Satyavrat Wagle Christopher G. Brinton FedML 30 0 0 15 Feb 2024
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey Dongqi Fu Wenxuan Bao Ross Maciejewski Hanghang Tong Jingrui He 39 9 0 10 Jul 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer Md Zarif Hossain Ahmed Imteaj FedML 32 5 0 02 May 2023
Digital Twin-Assisted Knowledge Distillation Framework for Heterogeneous Federated Learning Xiucheng Wang Nan Cheng Longfei Ma Ruijin Sun Rong Chai Ning Lu FedML 41 11 0 10 Mar 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Peichun Li Guoliang Cheng Xumin Huang Jiawen Kang Rong Yu Yuan Wu Miao Pan FedML 55 21 0 08 Jan 2023
SplitGP: Achieving Both Generalization and Personalization in Federated Learning Dong-Jun Han Do-Yeon Kim Minseok Choi Christopher G. Brinton Jaekyun Moon FedML 26 31 0 16 Dec 2022
Towards Practical Few-shot Federated NLP Dongqi Cai Yaozong Wu Haitao Yuan Shangguang Wang F. Lin Mengwei Xu FedML 42 6 0 01 Dec 2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange Satyavrat Wagle Seyyedali Hosseinalipour Naji Khosravan M. Chiang Christopher G. Brinton FedML 38 5 0 04 Aug 2022
Accelerating Vertical Federated Learning Dongqi Cai Tao Fan Yan Kang Lixin Fan Mengwei Xu Shangguang Wang Qiang Yang FedML 19 7 0 23 Jul 2022
Training Mixed-Domain Translation Models via Federated Learning Peyman Passban Tanya Roosta Rahul Gupta Ankit R. Chadha Clement Chung FedML AI4CE 29 18 0 03 May 2022
Parallel Successive Learning for Dynamic Distributed Model Training over Heterogeneous Wireless Networks Seyyedali Hosseinalipour Su Wang Nicolò Michelusi Vaneet Aggarwal Christopher G. Brinton David J. Love M. Chiang 23 27 0 07 Feb 2022
Communication-Efficient Federated Learning for Neural Machine Translation Tanya Roosta Peyman Passban Ankit R. Chadha FedML AI4CE 19 5 0 12 Dec 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 38 36 0 29 Jun 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations F. Lin Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi FedML 37 109 0 18 Mar 2021
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi Vaneet Aggarwal David J. Love H. Dai 26 91 0 18 Jul 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 763 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 144 1,687 0 14 Apr 2018