A Blockchain-Assisted Federated Learning Framework for Secure and Self-Optimizing Digital Twins in Industrial IoT by Innocent Boakye Ababio, Jan Bieniek, Mohamed Rahouti, Thaier Hayajneh, Mohammed Aledhari, Dinesh C. Verma, Abdellah Chehri

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A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy by Muhammad Adnan, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

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Semantic communication networking for the intelligence of everything by Guangming SHI, Yong XIAO, Yingyu LI, Dahua GAO, Xuemei XIE

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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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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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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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KiFramework — A Federated Learning Platform with an Innovative Communication Protocol by Jakub Michalek, Vaclav Oujezsky, Vladislav Skorpil

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Adaptive clustering federated learning via similarity acceleration by Suxia ZHU, Binke GU, Guanglu SUN

Subjects: “…federated learning…”
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Intrusion detection method for IoT in heterogeneous environment by LIU Jing, MU Zelin, LAI Yingxu

Subjects: “…federated learning…”
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Seeking Stability for Multi-Leader Stackelberg Game as an Incentive Mechanism for Multi-Requester Federated Learning by Min-Chun Cho, Li-Hsing Yen, Jing-Xuan Wang

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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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A privacy-enhanced framework with deep learning for botnet detection by Guangli Wu, Xingyue Wang

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Federated learning resource management for energy-constrained industrial IoT devices by Shaoshuai FAN, Jianbo WU, Hui TIAN

Subjects: “…federated learning…”
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Design of an improved model using federated learning and LSTM autoencoders for secure and transparent blockchain network transactions by R. Vijay Anand, G. Magesh, I. Alagiri, Madala Guru Brahmam, Balamurugan Balusamy, Chithirai Pon Selvan, Haya Mesfer Alshahrani, Masresha Getahun, Ben Othman Soufiene

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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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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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Model split-based data privacy protection method for federated learning by CHEN Ka

Subjects: “…federated learning…”
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A Physics-Based Hyper Parameter Optimized Federated Multi-Layered Deep Learning Model for Intrusion Detection in IoT Networks by Chirag Jitendra Chandnani, Vedik Agarwal, Shlok Chetan Kulkarni, Aditya Aren, D. Geraldine Bessie Amali, Kathiravan Srinivasan

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A survey of federated learning for 6G networks by Guanglei GENG, Bo GAO, Ke XIONG, Pingyi FAN, Yang LU, Yuwei WANG

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