Federated Learning for a Dynamic Edge: A Modular and Resilient Approach by Leonardo Almeida, Rafael Teixeira, Gabriele Baldoni, Mário Antunes, Rui L. Aguiar

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Data Poison Detection Schemes for Distributed Machine Learning by Yijin Chen, Yuming Mao, Haoyang Liang, Shui Yu, Yunkai Wei, Supeng Leng

Subjects: “…Distributed machine 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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Metaverse meets distributed machine learning: A contemporary review on the development with privacy-preserving concerns by Samuel Harry Gardner, Trong-Minh Hoang, Woongsoo Na, Nhu-Ngoc Dao, Sungrae Cho

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Privacy attack in federated learning is not easy: an experimental study by Hangyu Zhu, Liyuan Huang, Zhenping Xie

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Network modal innovation for distributed machine learning by Zehua GUO, Haowen ZHU, Tongwen XU

Subjects: “…multimodal network;distributed machine learning;model training;artificial intelligence…”
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Blockchain-Based Federated Learning: A Survey and New Perspectives by Weiguang Ning, Yingjuan Zhu, Caixia Song, Hongxia Li, Lihui Zhu, Jinbao Xie, Tianyu Chen, Tong Xu, Xi Xu, Jiwei Gao

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Survey of split learning data privacy by QIN Yiqun, MA Xiaojing, FU Jiayun, HU Pingyi, XU Peng, JIN Hai

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A decentralised federated learning scheme for heterogeneous devices in cognitive IoT by Huanhuan Ge, Xingtao Yang, Jinlong Wang, Zhihan Lyu

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Cost-Efficient Distributed Learning via Combinatorial Multi-Armed Bandits by Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Deniz Gündüz

Subjects: “…distributed machine learning…”
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Intelligent service oriented fog radio access network:principles, technologies and challenges by Chenxi LIU, Binghong LIU, Xian ZHANG, Xinnan LONG, Mugen PENG

Subjects: “…intelligent service;fog radio access network;artificial intelligence;distributed machine learning…”
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Fast-converging decentralized alternating direction method of multipliers for consensus optimization by Jeannie He, Ming Xiao, Mikael Skoglund

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Toward Efficient Hierarchical Federated Learning Design Over Multi-Hop Wireless Communications Networks by Tu Viet Nguyen, Nhan Duc Ho, Hieu Thien Hoang, Cuong Danh Do, Kok-Seng Wong

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A Distributed Machine Learning-Based Scheme for Real-Time Highway Traffic Flow Prediction in Internet of Vehicles by Hani Alnami, Imad Mahgoub, Hamzah Al-Najada, Easa Alalwany

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