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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Node selection method in federated learning based on deep reinforcement learning by Wenchen HE, Shaoyong GUO, Xuesong QIU, Liandong CHEN, Suxiang ZHANG

Subjects: “…federated learning…”
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Communication-efficient federated learning method via redundant data elimination by Kaiju LI, Qiang XU, Hao WANG

Subjects: “…federated learning…”
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Membership inference attack and defense method in federated learning based on GAN by Jiale ZHANG, Chengcheng ZHU, Xiaobing SUN, Bing CHEN

Subjects: “…federated learning…”
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Model split-based data privacy protection method for federated learning by CHEN Ka

Subjects: “…federated learning…”
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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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DAGUARD: distributed backdoor attack defense scheme under federated learning by Shengxing YU, Zekai CHEN, Zhong CHEN, Ximeng LIU

Subjects: “…federated learning…”
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SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption by Chong Wang, Jing Wang, Zheng Lou, Linghai Kong, WeiSong Tao, Yun Wang

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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…This paper presents a detailed literature review of the application of Federated Learning (FL) in brain tumor classification, focusing on the necessity of privacy-preserving ML using Magnetic Resonance Imaging (MRI) technology. …”
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KiFramework — A Federated Learning Platform with an Innovative Communication Protocol by Jakub Michalek, Vaclav Oujezsky, Vladislav Skorpil

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Federated learning based reference evapotranspiration estimation for distributed crop fields. by Muhammad Tausif, Muhammad Waseem Iqbal, Rab Nawaz Bashir, Bayan AlGhofaily, Alex Elyassih, Amjad Rehman Khan

“…However, federated learning trains models locally and combines the knowledge, resulting in more generalized ETo estimates across different regions. …”
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An Evolutionary Federated Learning Approach to Diagnose Alzheimer’s Disease Under Uncertainty by Nanziba Basnin, Tanjim Mahmud, Raihan Ul Islam, Karl Andersson

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Federated learning and information sharing between competitors with different training effectiveness by Jiajun Meng, Jing Chen, Dongfang Zhao

Subjects: “…Federated Learning…”
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D2D computation task offloading for efficient federated learning by Xiaoran CAI, Xiaopeng MO, Jie XU

Subjects: “…federated learning…”
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Edge computing privacy protection method based on blockchain and federated learning by Chen FANG, Yuanbo GUO, Yifeng WANG, Yongjin HU, Jiali MA, Han ZHANG, Yangyang HU

Subjects: “…federated learning…”
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Graph representation federated learning for malware detection in Internet of health things by Mohamed Amjath, Shagufta Henna, Upaka Rathnayake

Subjects: “…Federated learning…”
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Federated learning based intelligent edge computing technique for video surveillance by Yu ZHAO, Jie YANG, Miao LIU, Jinlong SUN, Guan GUI

Subjects: “…federated learning…”
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Privacy-enhanced federated learning scheme based on generative adversarial networks by Feng YU, Qingxin LIN, Hui LIN, Xiaoding WANG

Subjects: “…federated learning…”
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Efficient secure federated learning aggregation framework based on homomorphic encryption by Shengxing YU, Zhong CHEN

Subjects: “…federated learning…”
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Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers by HUANG Yichuan, SONG Yuhui, JING Zhaoxia

Subjects: “…energy aggregation service provider|load forecasting|federated learning|data privacy|neural network…”
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