Federated Learning Empowered Resource Allocation in UAV-Assisted Edge Intelligent Systems
Author:
Affiliation:
1. Xi’an Jiaotong-Liverpool University,School of Internet of Things,suzhou,china
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10199106/10201240/10201325.pdf?arnumber=10201325
Reference19 articles.
1. Federated learning: Strategies for improving communication efficiency;kone?ný;arXiv preprint arXiv 1610 05492,2016
2. MEC-Assisted Immersive VR Video Streaming Over Terahertz Wireless Networks: A Deep Reinforcement Learning Approach
3. Exploiting UAV for Air–Ground Integrated Federated Learning: A Joint UAV Location and Resource Optimization Approach
4. Enabling Low-latency Applications in Vehicular Networks Based on Mixed Fog/Cloud Computing Systems
5. Federated Learning Empowered Computation Offloading and Resource Management in 6G-V2X
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2. Service-Oriented Resource Allocation in UAV-Assist Internet of Things;IEEE Access;2024
3. A Systematic Mapping Study of UAV-Enabled Mobile Edge Computing for Task Offloading;IEEE Access;2024
4. PvFL-RA: Private Federated Learning for D2D Resource Allocation in 6G Communication;Lecture Notes on Data Engineering and Communications Technologies;2024
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