FedCVG: a two-stage robust federated learning optimization algorithm by Runze Zhang, Yang Zhang, Yating Zhao, Bin Jia, Wenjuan Lian

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Survey on data heterogeneity problems and personalization based solutions of federated learning in Internet of vehicles by LIU Miao, LIN Wanru, WANG Qin, GUI Guan

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Convergence Analysis for Differentially Private Federated Averaging in Heterogeneous Settings by Yiwei Li, Shuai Wang, Qilong Wu

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Intelligent diagnosis of gearbox in data heterogeneous environments based on federated supervised contrastive learning framework by Ruoyang Bai, Hongwei Wang, Wenlei Sun, Li He, Yuxin Shi, Qingang Xu, Yunhang Wang, Xicong Chen

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Personalized Federated Learning with Progressive Local Training Strategy and Lightweight Classifier by Jianhao Liu, Wenjuan Gong, Ziyi Fang, Jordi Gonzàlez, Joel Rodrigues

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DFL: Dynamic Federated Split Learning in Heterogeneous IoT by Eric Samikwa, Antonio Di Maio, Torsten Braun

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Controlling update distance and enhancing fair trainable prototypes in federated learning under data and model heterogeneity by Kangning Yin, Zhen Ding, Xinhui Ji, Zhiguo Wang

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FedSVD: Asynchronous Federated Learning With Stale Weight Vector Decomposition by Giwon Sur, Hyejin Kim, Seunghyun Yoon, Hyuk Lim

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Federated learning with joint server-client momentum by Boyuan Li, Shaohui Zhang, Qiuying Han

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Equipment Fault Diagnosis Method Based on High-efficient Communication Federated Learning by LIU Jing, ZHAO Yichen, LIU Xinghua, WU Youxi, JI Haipeng

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A Federated Learning Algorithm That Combines DCScaffold and Differential Privacy for Load Prediction by Yong Xiao, Xin Jin, Tingzhe Pan, Zhenwei Yu, Li Ding

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Research into Robust Federated Learning Methods Driven by Heterogeneity Awareness by Junhui Song, Zhangqi Zheng, Afei Li, Zhixin Xia, Yongshan Liu

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Machine Learning Techniques for Sensor-Based Human Activity Recognition with Data Heterogeneity—A Review by Xiaozhou Ye, Kouichi Sakurai, Nirmal-Kumar C. Nair, Kevin I-Kai Wang

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Addressing Sensor Data Heterogeneity and Sample Imbalance: A Transformer-Based Approach for Battery Degradation Prediction in Electric Vehicles by Bi Wu, Shi Qiu, Wenhe Liu

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SimProx: A Similarity-Based Aggregation in Federated Learning With Client Weight Optimization by Ayoub El-Niss, Ahmad Alzu'Bi, Abdelrahman Abuarqoub, Mohammad Hammoudeh, Ammar Muthanna

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Federated Learning on Heterogeneous Images in Internet of Biomedical Things by Yusen Li, Zaobo He, Peilin He, Yulin Cao

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A Multi-Task Based Clustering Personalized Federated Learning Method by Ao Xiong, Han Zhou, Yu Song, Dong Wang, Xu Wei, Da Li, Bo Gao

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Fed-Hetero: A Self-Evaluating Federated Learning Framework for Data Heterogeneity by Aiswariya Milan Kummaya, Amudha Joseph, Kumar Rajamani, George Ghinea

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A Hybrid Brain Tumor Classification Using FL With FedAvg and FedProx for Privacy and Robustness Across Heterogeneous Data Sources by N. Sivakumar, Ahmad Raza Khan, Syed Umar, R. N. Ravikumar, I. Bremnavas, Munindra Lunagaria, Krunal Vaghela, Ghanshyam G. Tejani, Sunil Kumar Sharma

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Optimizing Federated Learning With Aggregation Strategies: A Comprehensive Survey by Naeem Khan, Shibli Nisar, Muhammad Asghar Khan, Yasar Abbas Ur Rehman, Fazal Noor, Gordana Barb

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