FedFM: A federated few-shot learning method by comparison network and model calibration.
Knowl. Based Syst., 2025
Toward Industrial Densely Packed Object Detection: A Federated Semi-Supervised Learning Approach.
IEEE Internet Things J., November, 2024
IDDANet: An Input-Driven Dynamic Adaptive Network ensemble method for edge intelligence.
Future Gener. Comput. Syst., November, 2023
FedSup: A communication-efficient federated learning fatigue driving behaviors supervision approach.
Future Gener. Comput. Syst., 2023
Precision-Mixed and Weight-Average Ensemble: Online Knowledge Distillation for Quantization Convolutional Neural Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2023
AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT.
IEEE Internet Things J., 2022
FedSup: A Communication-Efficient Federated Learning Fatigue Driving Behaviors Supervision Framework.
CoRR, 2021
A Model Training Mechanism based on Onchain and Offchain Collaboration for Edge Computing.
Proceedings of the ICC 2021, 2021
DAER: A Resource Preallocation Algorithm of Edge Computing Server by Using Blockchain in Intelligent Driving.
IEEE Internet Things J., 2020
EdgeABC: An architecture for task offloading and resource allocation in the Internet of Things.
Future Gener. Comput. Syst., 2020
Cross-chain Oracle Based Data Migration Mechanism in Heterogeneous Blockchains.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020
Task Offloading and Resources Allocation based on Fairness in Edge Computing.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019
Deep Reinforcement Learning Based Service Migration Strategy for Edge Computing.
Proceedings of the 13th IEEE International Conference on Service-Oriented System Engineering, 2019
A Credible and Lightweight Multidimensional Trust Evaluation Mechanism for Service-Oriented IoT Edge Computing Environment.
Proceedings of the 2019 IEEE International Congress on Internet of Things, 2019
A Data Uploading Strategy in Vehicular Ad-hoc Networks Targeted on Dynamic Topology: Clustering and Cooperation.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019
A Real-Time Task Offloading Strategy Based on Double Auction for Optimal Resource Allocation in Edge Computing.
Proceedings of the 7th International Conference on Future Internet of Things and Cloud, 2019
A Heuristic Algorithm Based on Resource Requirements Forecasting for Server Placement in Edge Computing.
Proceedings of the 2018 IEEE/ACM Symposium on Edge Computing, 2018
A Real-Time Fraud Detection Algorithm Based on Usage Amount Forecast.
Proceedings of the Social Computing, 2016