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Deep Reinforcement Learning-Based Resource Allocation for UAV-Enabled Federated Edge Learning
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inferred← citeshttps://doi.org/10.1007/978-981-96-9611-6_1openalex-snapshot
Overview of UAV-MEC Systems and Fundamentals of Secure Communications
inferred← citeshttps://doi.org/10.1007/s11227-025-07193-yopenalex-snapshot
Collaborative task allocation for heterogeneous UAV coalitions with resource requirements based on multi-genotype genetic algorithm
inferred← citeshttps://doi.org/10.1016/j.adhoc.2025.103983openalex-snapshot
Utilization of machine learning in future wireless networks for resource optimization: A survey
inferred← citeshttps://doi.org/10.1016/j.cja.2026.104213openalex-snapshot
Empowering UAV intelligence with multi-cell federated learning under wireless packet error
inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108262openalex-snapshot
Dynamic data partitioning strategy for distributed learning on heterogeneous edge system
inferred← citeshttps://doi.org/10.1016/j.commtr.2025.100173openalex-snapshot
DFUN-KDF: Efficient and robust decentralized federated framework for UAV networks via knowledge distillation and filtering
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110387openalex-snapshot
IRS-assisted energy efficient communication for UAV mobile edge computing
inferred← citeshttps://doi.org/10.1016/j.vehcom.2025.100899openalex-snapshot
A question-centric review on DRL-based optimization for UAV-assisted MEC sensor and IoT applications, challenges, and future directions
inferred← citeshttps://doi.org/10.1109/access.2023.3349208openalex-snapshot
A Comprehensive Survey on 5G-and-Beyond Networks With UAVs: Applications, Emerging Technologies, Regulatory Aspects, Research Trends and Challenges
inferred← citeshttps://doi.org/10.1109/access.2024.3432610openalex-snapshot
UAVs and Blockchain Synergy: Enabling Secure Reputation-Based Federated Learning in Smart Cities
inferred← citeshttps://doi.org/10.1109/access.2026.3656665openalex-snapshot
More Than a Mobile Client: A Systematic Literature Review of Architectures, Applications, and Challenges of UAV-Enabled Federated Learning
inferred← citeshttps://doi.org/10.1109/iccc65529.2025.11148901openalex-snapshot
Multi-cell Air-ground Federated Learning with New Samples under Wireless Packet Error
inferred← citeshttps://doi.org/10.1109/jiot.2024.3432049openalex-snapshot
Bidirectional Selection for Federated Learning Incorporating Client Autonomy: An Accuracy-Aware Incentive Approach
inferred← citeshttps://doi.org/10.1109/jiot.2025.3628900openalex-snapshot
TTBO-FL: Joint Training, Trajectory, and Beamforming Optimization for Energy-Efficient Federated Learning in UAV Swarm
inferred← citeshttps://doi.org/10.1109/tmc.2023.3331906openalex-snapshot
The Data Value Based Asynchronous Federated Learning for UAV Swarm Under Unstable Communication Scenarios
inferred← citeshttps://doi.org/10.1109/tvt.2024.3481876openalex-snapshot
Federated Reinforcement Learning-Empowered Task Offloading for Large Models in Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1109/tvt.2025.3588204openalex-snapshot
Privacy-Preserving Task Offloading in Vehicular Edge Computing Using Federated Multi-Agent Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tvt.2026.3654127openalex-snapshot
Multi-UAV-Assisted Wireless Federated Learning in Dynamic Environments: An AIRDO-Based Multi-Agent RL Approach
inferred← citeshttps://doi.org/10.1109/wccct65447.2025.11027950openalex-snapshot
Edge Server Association and Trajectory Planning of UAVs in Federated Edge Learning Architecture
inferred← citeshttps://doi.org/10.1145/3840392openalex-snapshot
Adaptive Collaboration in Multiplex UAV Networks with Dynamic Communication
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3802943/v1openalex-snapshot
Joint Offloading Decision and Trajectory Optimization for Multi-UAV-Assisted Mobile Edge Computing System
inferred← citeshttps://doi.org/10.22214/ijraset.2023.54336openalex-snapshot
Autonomous UAV Swarms: Powering Up with AI
inferred← citeshttps://doi.org/10.26599/tst.2024.9010071openalex-snapshot
Deep-EERA: DRL-Based Energy-Efficient Resource Allocation in UAV-Empowered Beyond 5G Networks
inferred← citeshttps://doi.org/10.32604/cmc.2024.057006openalex-snapshot
A Comprehensive Survey on Joint Resource Allocation Strategies in Federated Edge Learning
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