Optimal Importance Sampling for Federated Learning

Optimal Importance Sampling for Federated Learning

26 October 2020

Papers citing "Optimal Importance Sampling for Federated Learning"

18 / 18 papers shown

Title
Green Federated Learning: A new era of Green Aware AI Dipanwita Thakur Antonella Guzzo Giancarlo Fortino Francesco Piccialli AI4CE 48 4 0 19 Sep 2024
Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data William Lindskog Christian Prehofer Sarandeep Singh FedML 23 0 0 03 May 2024
Unsupervised Federated Optimization at the Edge: D2D-Enabled Learning without Labels Satyavrat Wagle Seyyedali Hosseinalipour Naji Khosravan Christopher G. Brinton FedML 34 2 0 15 Apr 2024
LEFL: Low Entropy Client Sampling in Federated Learning Waqwoya Abebe J. P. Muñoz Ali Jannesari FedML 17 0 0 29 Dec 2023
Greedy Shapley Client Selection for Communication-Efficient Federated Learning Pranava Singhal Shashi Raj Pandey P. Popovski FedML 15 4 0 14 Dec 2023
Data Games: A Game-Theoretic Approach to Swarm Robotic Data Collection Oguzhan Akcin Po-han Li Shubhankar Agarwal Sandeep P. Chinchali 23 3 0 07 Mar 2023
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning Marco Skocaj Pedro Enrique Iturria-Rivera Roberto Verdone Melike Erol-Kantarci 30 1 0 27 Jan 2023
Adaptive Control of Client Selection and Gradient Compression for Efficient Federated Learning Zhida Jiang Yang Xu Hong-Ze Xu Zhiyuan Wang Chen Qian 18 9 0 19 Dec 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 32 115 0 03 Nov 2022
ISFL: Federated Learning for Non-i.i.d. Data with Local Importance Sampling Zheqi Zhu Yuchen Shi Pingyi Fan Chenghui Peng Khaled B. Letaief FedML 25 8 0 05 Oct 2022
Fast Heterogeneous Federated Learning with Hybrid Client Selection Guangyuan Shen D. Gao Duanxiao Song Libin Yang Xukai Zhou Shirui Pan W. Lou Fang Zhou FedML 34 12 0 10 Aug 2022
Embedding Alignment for Unsupervised Federated Learning via Smart Data Exchange Satyavrat Wagle Seyyedali Hosseinalipour Naji Khosravan M. Chiang Christopher G. Brinton FedML 30 5 0 04 Aug 2022
Impact of Sampling on Locally Differentially Private Data Collection Sayan Biswas Graham Cormode Carsten Maple FedML 22 0 0 02 Jun 2022
Variance-Reduced Heterogeneous Federated Learning via Stratified Client Selection Guangyuan Shen D. Gao Libin Yang Fang Zhou Duanxiao Song Wei Lou Shirui Pan FedML 17 8 0 15 Jan 2022
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression Vinay Chakravarthi Gogineni Stefan Werner Yih-Fang Huang A. Kuh FedML 16 20 0 13 Oct 2021
Accelerating Federated Edge Learning via Optimized Probabilistic Device Scheduling Maojun Zhang Guangxu Zhu Shuai Wang Jiamo Jiang C. Zhong Shuguang Cui FedML 11 5 0 24 Jul 2021
Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data Hongda Wu Ping Wang FedML 15 135 0 14 May 2021
A Graph Federated Architecture with Privacy Preserving Learning Elsa Rizk Ali H. Sayed FedML 36 21 0 26 Apr 2021