Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated
Learning via Class-Imbalance Reduction

Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction

30 September 2022

Jianyi Zhang

Yiran Chen

Papers citing "Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction"

5 / 5 papers shown

Title
Federated Client-tailored Adapter for Medical Image Segmentation Guyue Hu Siyuan Song Yukun Kang Z. Yin Gangming Zhao Chenglong Li Jin Tang FedML MedIm 260 0 0 25 Apr 2025
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter Dropout Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 41 2 0 31 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 34 3 0 07 Aug 2023
Meta-Reinforcement Learning via Exploratory Task Clustering Zhendong Chu Hongning Wang OffRL 36 5 0 15 Feb 2023
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 172 99 0 28 Dec 2020