Adaptive Heterogeneous Client Sampling for Federated Learning over
Wireless Networks

Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks

22 April 2024

Leandros Tassiulas

Papers citing "Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks"

16 / 16 papers shown

Title
Federated Learning-Distillation Alternation for Resource-Constrained IoT Rafael Valente da Silva Onel L. A. López R. D. Souza 19 0 0 26 May 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Yansen Wang Wenkai Ji Jian Zhou Fu Xiao Tsung-Hui Chang 61 0 0 24 Feb 2025
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling Bing Luo Wenli Xiao Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 65 172 0 21 Dec 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning Yann Fraboni Richard Vidal Laetitia Kameni Marco Lorenzi FedML 44 189 0 12 May 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 97 110 0 04 Jan 2021
Federated Learning under Importance Sampling Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 40 53 0 14 Dec 2020
Optimal Client Sampling for Federated Learning Jiajun He Samuel Horváth Peter Richtárik FedML 61 195 0 26 Oct 2020
Fast-Convergent Federated Learning Hung T. Nguyen Vikash Sehwag Seyyedali Hosseinalipour Christopher G. Brinton M. Chiang H. Vincent Poor FedML 52 192 0 26 Jul 2020
TiFL: A Tier-based Federated Learning System Zheng Chai Ahsan Ali Syed Zawad Stacey Truex Ali Anwar Nathalie Baracaldo Yi Zhou Heiko Ludwig Feng Yan Yue Cheng FedML 39 276 0 25 Jan 2020
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 45 684 0 06 Nov 2019
On the Convergence of Local Descent Methods in Federated Learning Farzin Haddadpour M. Mahdavi FedML 55 270 0 31 Oct 2019
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning Sai Praneeth Karimireddy Satyen Kale M. Mohri Sashank J. Reddi Sebastian U. Stich A. Suresh FedML 47 345 0 14 Oct 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 88 2,652 0 04 Feb 2019
Local SGD Converges Fast and Communicates Little Sebastian U. Stich FedML 152 1,056 0 24 May 2018
BLENDER: Enabling Local Search with a Hybrid Differential Privacy Model Brendan Avent Aleksandra Korolova David Zeber Torgeir Hovden B. Livshits FedML 53 99 0 02 May 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 267 4,620 0 18 Oct 2016

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