Survey on model inversion attack and defense in federated learning by Dong WANG, Qianqian QIN, Kaitian GUO, Rongke LIU, Weipeng YAN, Yizhi REN, Qingcai LUO, Yanzhao SHEN

Subjects: “…federated learning…”
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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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Secure federated learning scheme based on adaptive Byzantine defense by ZHOU Yousheng, GAO Jingkun, ZUO Xiangjian, LIU Yuanni

Subjects: “…federated learning…”
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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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Byzantine-robust federated learning over Non-IID data by Xindi MA, Qinghua LI, Qi JIANG, Zhuo MA, Sheng GAO, Youliang TIAN, Jianfeng MA

Subjects: “…federated learning…”
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Privacy-preserving federated learning framework with irregular-majority users by Qianxin CHEN, Renwan BI, Jie LIN, Biao JIN, Jinbo XIONG

Subjects: “…federated learning…”
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Privacy-preserving federated learning framework with dynamic weight aggregation by Zuobin YING, Yichen FANG, Yiwen ZHANG

Subjects: “…federated learning…”
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Clients selection method based on knapsack model in federated learning by Jiahui GUO, Zhuoyue CHEN, Wei GAO, Xijun WANG, Xinghua SUN, Lin GAO

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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Blockchain based adaptive federated learning in computational power network by LIU Tianrui, WANG Lianhai, WANG Qizheng, XU Shujiang, ZHANG Shuhui, WANG Yingxiaochun

Subjects: “…federated learning…”
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Node selection based on label quantity information in federated learning by Jiahua MA, Xinghua SUN, Wenchao XIA, Xijun WANG, Hongzhou TAN, Hongbo ZHU

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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Research on federated learning approach based on local differential privacy by Haiyan KANG, Yuanrui JI

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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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Backdoor defense method in federated learning based on contrastive training by Jiale ZHANG, Chengcheng ZHU, Xiang CHENG, Xiaobing SUN, Bing CHEN

Subjects: “…federated learning…”
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Hybrid quantum enhanced federated learning for cyber attack detection by G. Subramanian, M. Chinnadurai

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Data augmentation scheme for federated learning with non-IID data by Lingtao TANG, Di WANG, Shengyun LIU

Subjects: “…federated learning…”
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