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Task Offloading and Resources Allocation based on Fairness in Edge Computing.

, , , , , and . WCNC, page 1-6. IEEE, (2019)

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Deep Reinforcement Learning Based Service Migration Strategy for Edge Computing., , , , , and . SOSE, IEEE, (2019)Task Offloading and Resources Allocation based on Fairness in Edge Computing., , , , , and . WCNC, page 1-6. IEEE, (2019)Data-Efficient Adaptive Global Pruning for Convolutional Neural Networks in Edge Computing., , , , and . ICC, page 6633-6638. IEEE, (2023)FedUSC: Collaborative Unsupervised Representation Learning From Decentralized Data for Internet of Things., , , , , and . IEEE Internet Things J., 10 (15): 13601-13611 (August 2023)A Model Training Mechanism based on Onchain and Offchain Collaboration for Edge Computing., , , , , , , , and . ICC, page 1-6. IEEE, (2021)A Real-Time Task Offloading Strategy Based on Double Auction for Optimal Resource Allocation in Edge Computing., , , , , and . FiCloud, page 9-16. IEEE, (2019)AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT., , , , and . IEEE Internet Things J., 9 (18): 17080-17088 (2022)FedACL: Federated Multi-Distillation with Auxiliary Classification Layers in IoT., , , , and . HPCC/DSS/SmartCity/DependSys, page 1208-1215. IEEE, (2022)FedSC: Compatible Gradient Compression for Communication-Efficient Federated Learning., , , and . ICA3PP (1), volume 14487 of Lecture Notes in Computer Science, page 360-379. Springer, (2023)CFedPer: Clustered Federated Learning with Two-Stages Optimization for Personalization., , , and . MSN, page 171-177. IEEE, (2022)