Privacy and Efficiency of Communications in Federated Split Learning

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

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BBNet: A Novel Convolutional Neural Network Structure in Edge-Cloud Collaborative Inference

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Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management

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FedCPF: An Efficient-Communication Federated Learning Approach for Vehicular Edge Computing in 6G Communication Networks

(2021) Su Liu et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Unified Biometric Privacy Preserving Three-Factor Authentication and Key Agreement for Cloud-Assisted Autonomous Vehicles

(2020) Qi Jiang et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Distributed learning of deep neural network over multiple agents

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