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Source code for the paper "Joint Class-Balanced Client Selection and Bandwidth Allocation for Cost-Efficient Federated Learning in Mobile Edge Computing Networks". This paper is pulished in IEEE TMC.
Multi-UAV Assisted Mobile Edge Computing: A hybrid optimization approach of combining multi-agent RL techniques with collaborative and adaptive caching policies for supporting mobile edge computing through UAVs.
Source code for the paper "Accelerating Federated Learning under Client Dropout via Joint Bandwidth Allocation and Prototype Fine-Tuning in Mobile Edge Computing Networks".