4.7 Review

Federated learning review: Fundamentals, enabling technologies, and future applications

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Federated Learning for Data Privacy Preservation in Vehicular Cyber-Physical Systems

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Federated Learning With Blockchain for Autonomous Vehicles: Analysis and Design Challenges

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Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT

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Accelerating Federated Learning via Momentum Gradient Descent

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Federated and secure cloud services for building medical image classifiers on an intercontinental infrastructure

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Deep Learning for Edge Computing Applications: A State-of-the-Art Survey

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Federated Cooperation and Augmentation for Power Allocation in Decentralized Wireless Networks

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Federated Learning for UAVs-Enabled Wireless Networks: Use Cases, Challenges, and Open Problems

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CEFL: Online Admission Control, Data Scheduling, and Accuracy Tuning for Cost-Efficient Federated Learning Across Edge Nodes

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Personalized Federated Learning With Differential Privacy

Rui Hu et al.

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Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

Zhaoyang Du et al.

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A unified data security framework for federated prognostics and health management in smart manufacturing

Behrad Bagheri et al.

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Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Wei Yang Bryan Lim et al.

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Federated Learning-Based Cognitive Detection of Jamming Attack in Flying Ad-Hoc Network

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Privacy-Preserving Asynchronous Federated Learning Mechanism for Edge Network Computing

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Federated Learning: A Survey on Enabling Technologies, Protocols, and Applications

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Federated Learning With Differential Privacy: Algorithms and Performance Analysis

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VerifyNet: Secure and Verifiable Federated Learning

Guowen Xu et al.

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Federated Machine Learning: Concept and Applications

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Adaptive Federated Learning in Resource Constrained Edge Computing Systems

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In-Edge AI: Intelligentizing Mobile Edge Computing, Caching and Communication by Federated Learning

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Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems

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Deep-space applications for point-of-care technologies

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Federated learning of predictive models from federated Electronic Health Records

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Densely Connected Convolutional Networks

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Representation Learning: A Review and New Perspectives

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