Federated learning with class imbalance reduction

Federated learning with class imbalance reduction

23 November 2020

Akitanoshou Wong

Papers citing "Federated learning with class imbalance reduction"

17 / 17 papers shown

Title
Regularizing and Aggregating Clients with Class Distribution for Personalized Federated Learning Gyuejeong Lee Daeyoung Choi 46 0 0 12 Jun 2024
LW-FedSSL: Resource-efficient Layer-wise Federated Self-supervised Learning Ye Lin Tun Chu Myaet Thwal Le Quang Huy Minh N. H. Nguyen Choong Seon Hong FedML 40 2 0 22 Jan 2024
CLIP-guided Federated Learning on Heterogeneous and Long-Tailed Data Jiangming Shi Shanshan Zheng Xiangbo Yin Yang Lu Yuan Xie Yanyun Qu VLM FedML 49 10 0 14 Dec 2023
A Distributed Approach to Meteorological Predictions: Addressing Data Imbalance in Precipitation Prediction Models through Federated Learning and GANs Elaheh Jafarigol Theodore Trafalis 21 7 0 19 Oct 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 36 12 0 14 May 2023
A Survey on Class Imbalance in Federated Learning Jing Zhang Chuanwen Li Jianzgong Qi Jiayuan He FedML 47 13 0 21 Mar 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 36 21 0 20 Feb 2023
Exploiting Personalized Invariance for Better Out-of-distribution Generalization in Federated Learning Xueyang Tang Song Guo Jie Zhang FedML OODD OOD 36 3 0 21 Nov 2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective Ping Luo Jieren Cheng Zhenhao Liu N. Xiong Jie Wu FedML 30 1 0 28 Sep 2022
A Snapshot of the Frontiers of Client Selection in Federated Learning Gergely Németh M. Lozano Novi Quadrianto Nuria Oliver FedML 104 14 0 27 Sep 2022
Layer-wised Model Aggregation for Personalized Federated Learning Xiaosong Ma Jie Zhang Song Guo Wenchao Xu FedML 27 170 0 09 May 2022
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao Lingxiao Wang Mladen Kolar Ziqi Liu Qing Cui Jun Zhou Chaochao Chen FedML 34 10 0 28 Dec 2021
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
On Bridging Generic and Personalized Federated Learning for Image Classification Hong-You Chen Wei-Lun Chao FedML 22 21 0 02 Jul 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021