A Bibliometric Analysis on Federated Learning by Ersin Namlı, Yusuf Sait Türkan, Mesut Ulu, Ömer Algorabi

Subjects: “…federated learning…”
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Decentralized Federated Learning with Prototype Exchange by Lu Qi, Haoze Chen, Hongliang Zou, Shaohua Chen, Xiaoying Zhang, Hongyan Chen

Subjects: “…federated learning…”
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Federated Learning in Data Privacy and Security by Dokuru Trisha Reddy, Haripriya Nandigam, Sai Charan Indla, S. P. Raja

“…Federated learning (FL) has been a rapidly growing topic in recent years. …”
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Survey on Byzantine attacks and defenses in federated learning by ZHAO Xiaojie, SHI Jinqiao, HUANG Mei, KE Zhenhan, SHEN Liyan

Subjects: “…federated learning…”
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Elastic Optimization for Stragglers in Edge Federated Learning by Khadija Sultana, Khandakar Ahmed, Bruce Gu, Hua Wang

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Review of communication optimization methods in federated learning by YANG Zhikai, LIU Yaping, ZHANG Shuo, SUN Zhe, YAN Dingyu

Subjects: “…federated learning…”
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Application of federated learning in predicting breast cancer by Chai Jiarui

“…This paper proposes a breast cancer prediction model combined with federated learning, where each participant trains the model locally using multimodal data such as imaging, genes, and treatment history. …”
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Federated Learning Based on OPTICS Clustering Optimization by Chenyang Lu, Su Deng, Yahui Wu, Haohao Zhou, Wubin Ma

“…Federated learning (FL) has emerged for solving the problem of data fragmentation and isolation in machine learning based on privacy protection. …”
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A survey of security threats in federated learning by Yunhao Feng, Yanming Guo, Yinjian Hou, Yulun Wu, Mingrui Lao, Tianyuan Yu, Gang Liu

Subjects: “…Federated learning…”
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Federated Learning Applications in Fingerprint and Finger Vein Recognition by Wang Yongchao

“…This article summarizes several approaches that combine federated learning with fingerprint and finger vein recognition to solve privacy issues. …”
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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

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Federated Learning Approach for Breast Cancer Detection Based on DCNN by Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan

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FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

Subjects: “…Federated learning…”
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Federated Learning for Decentralized DDoS Attack Detection in IoT Networks by Yaser Alhasawi, Salem Alghamdi

Subjects: “…Federated learning…”
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A Trusted Federated Learning Method Based on Consortium Blockchain by Xiaojun Yin, Xijun Wu, Xinming Zhang

Subjects: “…federated learning…”
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Federated Learning: A Distributed Shared Machine Learning Method by Kai Hu, Yaogen Li, Min Xia, Jiasheng Wu, Meixia Lu, Shuai Zhang, Liguo Weng

“…Federated learning (FL) is a distributed machine learning (ML) framework. …”
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Traffic Sign Recognition in Rainy Conditions Based on Federated Learning by Chen Yilin

“…Subsequently, this study implemented a LeNet model within a Federated Learning framework, which enables decentralized training while preserving data privacy. …”
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Balanced coarse-to-fine federated learning for noisy heterogeneous clients by Longfei Han, Ying Zhai, Yanan Jia, Qiang Cai, Haisheng Li, Xiankai Huang

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A Comprehensive Investigation of Fraud Detection Behavior in Federated Learning by Sun Rui

“…This research delves into the application of Federated Learning (FL) models for detecting fraud across different financial bodies. …”
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Hierarchical Learning: A Hybrid of Federated Learning and Personalization Fine-Tuning by Li Shuyi, Zhang Bairong

“…Hierarchical Federated Learning (FL) presents a novel approach that combines global model training with localized personalization fine-tuning to enhance the predictive accuracy of decentralized machine learning systems. …”
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