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

Title
FedMuon: Federated Learning with Bias-corrected LMO-based Optimization Yuki Takezawa Anastasia Koloskova Xiaowen Jiang Sebastian U. Stich 110 0 0 30 Sep 2025
FedTeddi: Temporal Drift and Divergence Aware Scheduling for Timely Federated Edge Learning Yuxuan Bai Yuxuan Sun Tan Chen Wei Chen Sheng Zhou Z. Niu FedML 80 0 0 09 Sep 2025
Communication-Efficient Federated Learning with Adaptive Number of Participants Sergey Skorik Vladislav Dorofeev Gleb Molodtsov A. Avetisyan Dmitry Bylinkin Daniil Medyakov Aleksandr Beznosikov FedML 88 0 0 19 Aug 2025
Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg Like Jian Dong Liu FedML 80 0 0 18 Aug 2025
Boosting Generalization Performance in Model-Heterogeneous Federated Learning Using Variational Transposed Convolution Ziru Niu Hai Dong •. A. K. Qin FedML 161 0 0 03 Aug 2025
FedCGD: Collective Gradient Divergence Optimized Scheduling for Wireless Federated Learning Tan Chen Jintao Yan Yuxuan Sun Sheng Zhou Z. Niu FedML 223 1 0 09 Jun 2025
A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances Brian B. Moser Arundhati S. Shanbhag Stanislav Frolov Federico Raue Joachim Folz Andreas Dengel 385 7 0 23 May 2025
Federated Client-tailored Adapter for Medical Image SegmentationIEEE Transactions on Information Forensics and Security (TIFS), 2025 Guyue Hu Siyuan Song Yukun Kang Z. Yin Gangming Zhao Chenglong Li Jin Tang FedML MedIm 853 2 0 25 Apr 2025
BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks Sushilkumar Yadav Irem Bor-Yaliniz 115 0 0 01 Nov 2024
SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2024 Jianyi Zhang Da-Cheng Juan Cyrus Rashtchian Chun-Sung Ferng Heinrich Jiang Yiran Chen 315 12 0 01 Nov 2024
FedProphet: Memory-Efficient Federated Adversarial Training via Robust and Consistent Cascade Learning Minxue Tang Yitu Wang Jingyang Zhang Louis DiValentin Aolin Ding Amin Hass Yiran Chen Hai "Helen" Li FedML AAML 155 0 0 12 Sep 2024
MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed DataIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Jianyi Zhang H. Yang Ang Li Xin Guo Pu Wang Haiming Wang Yiran Chen Hai Li 161 1 0 09 Sep 2024
Navigating High-Degree Heterogeneity: Federated Learning in Aerial and Space Networks Fan Dong Henry Leung Steve Drew 181 2 0 25 Jun 2024
SFedCA: Credit Assignment-Based Active Client Selection Strategy for Spiking Federated Learning Qiugang Zhan Jinbo Cao Xiurui Xie Malu Zhang Huajin Tang Guisong Liu FedML 149 0 0 18 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 230 6 0 30 May 2024
Maverick-Aware Shapley Valuation for Client Selection in Federated Learning Mengwei Yang Ismat Jarin Baturalp Buyukates A. Avestimehr A. Markopoulou FedML 112 2 0 21 May 2024
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments Jiarong Yang Yuan Liu FedML 134 3 0 08 May 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed DataInternational Conference on Learning Representations (ICLR), 2024 Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Qiufeng Wang Howard H. Yang Zuo-Qiang Liu FedML 210 12 0 17 Jan 2024
LEFL: Low Entropy Client Sampling in Federated Learning Waqwoya Abebe J. P. Muñoz Ali Jannesari FedML 250 2 0 29 Dec 2023
FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy Ziru Niu Senior Member Ieee Hai Dong •. A. K. Qin Senior Member Ieee Tao Gu 209 15 0 15 Oct 2023
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client SamplingNeural Information Processing Systems (NeurIPS), 2023 Huancheng Chen H. Vikalo FedML 119 2 0 30 Sep 2023
FedDD: Toward Communication-efficient Federated Learning with Differential Parameter DropoutIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Zhiying Feng Xu Chen Qiong Wu Wenhua Wu Xiaoxi Zhang Qian Huang FedML 163 4 0 31 Aug 2023
FLIPS: Federated Learning using Intelligent Participant SelectionInternational Middleware Conference (Middleware), 2023 R. Bhope K.R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 214 5 0 07 Aug 2023
Towards Building the Federated GPT: Federated Instruction TuningIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023 Jianyi Zhang Saeed Vahidian Martin Kuo Chunyuan Li Ruiyi Zhang Tong Yu Jiuxiang Gu Guoyin Wang Yiran Chen ALM FedML 220 175 0 09 May 2023
Meta-Reinforcement Learning via Exploratory Task ClusteringAAAI Conference on Artificial Intelligence (AAAI), 2023 Zhendong Chu Hongning Wang OffRL 164 9 0 15 Feb 2023