Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks | Paper Citation Record

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks 6g wireless networks: Vision, requirements, architecture, and key technologies,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Efficient multi-user computation offloading for mobile-edge cloud computing,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Vehicular intelligence in 6g: Networking, communications, and computing,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Decentralizing 6g security: Existing challenges and future opportunities,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks What will 5g be?

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Mobility- aware caching and computation offloading in 5g ultra-dense cellular networks,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Distributed deep reinforcement learning architecture for task offloading in au- tonomous iot systems,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Distributed deep multi- agent reinforcement learning for cooperative edge caching in internet- of-vehicles,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Federated Reinforcement Learning: Techniques, Applications, and Open Challenges

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Co- operative multi-agent reinforcement-learning-based distributed dynamic spectrum access in cognitive radio networks,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Scheduling of real-time wireless flows: A comparative study of centralized and decentralized reinforcement learning approaches,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Centralized & distributed deep rein- forcement learning methods for downlink sum-rate optimization,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks A multiagent reinforcement learning ap- proach considering fairness for multi-intersection traffic signal control,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Deep reinforcement learning for mobile 5g and beyond: Fundamentals, applications, and challenges,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Communication-efficient learning of deep networks from decentralized data,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Advances and open problems in federated learning,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Federated learning for wireless communications: Motivation, opportunities and challenges,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks A comprehensive study of gradient inversion attacks in federated learning and baseline defense strategies,

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This paper cites Pp-marl: Efficient privacy-preserving multi-agent reinforcement learning for cooperative intelligence in com- munications,.

Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Pp-marl: Efficient privacy-preserving multi-agent reinforcement learning for cooperative intelligence in com- munications,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Practical secure aggregation for privacy-preserving machine learning,

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This paper cites An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management.

Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks An Offline Multi-Agent Reinforcement Learning Framework for Radio Resource Management

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Wireless resource allocation algorithm based on multi-objective deep reinforcement learning for vehicle-to-vehicle communications,

Reference 24

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Exploring cross-layer techniques for security: Challenges and opportunities in wireless networks,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Multi-agent deep reinforcement learning for task offloading in vehicle edge computing,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Energy-aware mobility management for mobile edge computing in ultra dense networks,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks A survey on resource allocation schemes in device-to-device communication,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks 5g orchestration and analysis: Dynamic approach, control and challenges faced,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Multi-agent reinforcement learning for resource allocation in iot networks with edge computing,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Fully decentralized multi-agent reinforcement learning with networked agents,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks An insight into federated learning: A collaborative approach for machine learning,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Federated learning in vehicular networks,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Energy- aware selective inference task offloading for real-time edge computing applications,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Reinforce- ment learning-based physical cross-layer security and privacy in 6g,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Fauno: Semi- asynchronous federated reinforcement learning framework for task of- floading in edge systems,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Federated Double Deep Q-learning for Joint Delay and Energy Minimization in IoT networks

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Fedrl-d2d: Federated deep reinforcement learning-empowered resource allocation scheme for energy efficiency maximization in d2d- assisted 6g networks,

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Federated Multi-Agent Reinforcement Learning for Privacy-Preserving and Energy-Aware Resource Management in 6G Edge Networks Optical wireless communications: Research challenges for mac layer,

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