Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits

6 December 2020

Papers citing "Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits"

6 / 6 papers shown

Title
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation Muhammad Irfan Khan Elina Kontio Suleiman A. Khan Mojtaba Jafaritadi FedML 46 0 0 31 Dec 2024
Enhanced Federated Optimization: Adaptive Unbiased Sampling with Reduced Variance Dun Zeng Zenglin Xu Yu Pan Xu Luo Qifan Wang Xiaoying Tang FedML 17 1 0 04 Oct 2023
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client Sampling Huancheng Chen H. Vikalo FedML 8 2 0 30 Sep 2023
Efficient Node Selection in Private Personalized Decentralized Learning Edvin Listo Zec Johan Ostman Olof Mogren D. Gillblad 19 1 0 30 Jan 2023
Differentially Private Federated Combinatorial Bandits with Constraints Sambhav Solanki Samhita Kanaparthy Sankarshan Damle Sujit Gujar FedML 24 4 0 27 Jun 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Zhiqiang Zhang Jun Zhou Chaochao Chen FedML 28 10 0 28 Dec 2021