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

Observation 66f102a8-445d-4329-910b-f41bedc5be07 · outbound

This paper cites 6g wireless networks: Vision, requirements, architecture, and key technologies,.

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,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:28.121677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8da62310-9374-4125-80af-ee8c8131f245 · outbound

This paper cites Efficient multi-user computation offloading for mobile-edge cloud computing,.

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,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:28.167714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 87249283-15d0-4b45-8fe6-2ca102923a1d · outbound

This paper cites Vehicular intelligence in 6g: Networking, communications, and computing,.

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,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:28.296492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e57a6cfb-c97a-4cc3-a83b-051e6dc334fe · outbound

This paper cites Decentralizing 6g security: Existing challenges and future opportunities,.

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,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:28.377078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5afbb4f-6729-4cd5-a792-e7251e367f7c · outbound

This paper cites What will 5g be?.

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

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:28.494088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e6bc792-a442-4fce-b1b4-76ae869d8278 · outbound

This paper cites Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing.

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

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-04T18:14:12.119247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c133533c-0c77-40e6-8043-ae2b23278bfb · outbound

This paper cites Mobility- aware caching and computation offloading in 5g ultra-dense cellular networks,.

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,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:28.729907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315f6d72-dd75-48a9-91b3-7325fa7da907 · outbound

This paper cites Distributed deep reinforcement learning architecture for task offloading in au- tonomous iot systems,.

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,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:28.825825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61494035-4016-4f31-a811-ba2ed0e20744 · outbound

This paper cites Distributed deep multi- agent reinforcement learning for cooperative edge caching in internet- of-vehicles,.

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,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:28.954484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2d22a59-4d3a-4b8e-9b54-c3c34a066e47 · outbound

This paper cites Federated Reinforcement Learning: Techniques, Applications, and Open Challenges.

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

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.057515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3501403a-9085-4d63-9e88-1db6e899a892 · outbound

This paper cites Co- operative multi-agent reinforcement-learning-based distributed dynamic spectrum access in cognitive radio networks,.

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,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.156338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0cae155-3029-486b-969d-d5a997bb9665 · outbound

This paper cites Scheduling of real-time wireless flows: A comparative study of centralized and decentralized reinforcement learning approaches,.

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,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.257797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dc1aa27-c720-4989-bb00-ea31bb3f5540 · outbound

This paper cites Centralized & distributed deep rein- forcement learning methods for downlink sum-rate optimization,.

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,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.361493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e1a5ddd-9e85-4b81-a586-a0cca95f5b95 · outbound

This paper cites Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks,.

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,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.463282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 401edd0e-d67f-4803-90bc-ff75fa7f663f · outbound

This paper cites A multiagent reinforcement learning ap- proach considering fairness for multi-intersection traffic signal control,.

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,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.541928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d06bc267-a495-4ca1-97e6-fd56a92c3812 · outbound

This paper cites Deep reinforcement learning for mobile 5g and beyond: Fundamentals, applications, and challenges,.

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,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.617462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae0835f0-7a21-4d1b-94fd-4ba7d47ac654 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

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,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.728672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8a3990-da8b-470d-ad13-a9289b7741ea · outbound

This paper cites Advances and open problems in federated learning,.

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

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.835792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 582f3181-9cb4-492a-8f71-fd95ed1a1142 · outbound

This paper cites Federated learning for wireless communications: Motivation, opportunities and challenges,.

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,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:29.939051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc98c032-4ca8-4f7d-bdae-db4561c59e40 · outbound

This paper cites A comprehensive study of gradient inversion attacks in federated learning and baseline defense strategies,.

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,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.051604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95150087-6568-49e6-827e-dee3b32bab99 · outbound

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,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.121270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bc8d182-b655-40e2-9533-35626030b93e · outbound

This paper cites Practical secure aggregation for privacy-preserving machine learning,.

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,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.221596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d288dbb-6b10-4364-a3b6-13fe170d96bb · outbound

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

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.327529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f67e255-bd63-4295-8828-aafa45af0c7b · outbound

This paper cites Wireless resource allocation algorithm based on multi-objective deep reinforcement learning for vehicle-to-vehicle communications,.

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

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.396762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 969da2d1-6784-4cfa-a580-4338d9774d8d · outbound

This paper cites Exploring cross-layer techniques for security: Challenges and opportunities in wireless networks,.

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,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.510621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cccf8fa0-bc3c-4f6f-9cc6-dbc795096a09 · outbound

This paper cites Multi-agent deep reinforcement learning for task offloading in vehicle edge computing,.

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,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.618108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c717a6f0-9f75-484b-b6c7-7ffb4bbd15e9 · outbound

This paper cites Energy-aware mobility management for mobile edge computing in ultra dense networks,.

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,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.728626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 637f4a03-9b96-4c3c-bc6a-5c60a7bcdb20 · outbound

This paper cites A survey on resource allocation schemes in device-to-device communication,.

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,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.830071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5b9b8d-0e33-4402-aca5-7114fc81a7ab · outbound

This paper cites 5g orchestration and analysis: Dynamic approach, control and challenges faced,.

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,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:30.951065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a29ac5ed-b5f5-453a-9b73-10ec471957c1 · outbound

This paper cites Multi-agent reinforcement learning for resource allocation in iot networks with edge computing,.

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,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.063735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfe10b74-8f2a-4856-9d31-8c254e5ba2fb · outbound

This paper cites Fully decentralized multi-agent reinforcement learning with networked agents,.

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,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.175261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc4a3432-3843-4432-8bde-5ecf1ef162a5 · outbound

This paper cites An insight into federated learning: A collaborative approach for machine learning,.

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,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.296661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bdeb365-edd9-4ef0-8d98-45022b33862c · outbound

This paper cites Federated learning in vehicular networks,.

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

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.377464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd86af6a-5616-44b4-99c7-7f60211e290b · outbound

This paper cites Energy- aware selective inference task offloading for real-time edge computing applications,.

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,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.489431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c115c492-39ea-4803-b871-46f61a58c712 · outbound

This paper cites Reinforce- ment learning-based physical cross-layer security and privacy in 6g,.

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,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.573274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 338464b8-ff48-4250-b3ae-359a1e714295 · outbound

This paper cites Fauno: Semi- asynchronous federated reinforcement learning framework for task of- floading in edge systems,.

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,

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.578425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da76572d-4137-491b-ab4d-67fba72b2538 · outbound

This paper cites Federated Double Deep Q-learning for Joint Delay and Energy Minimization in IoT networks.

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

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.586362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f22b734-cefb-40df-9f02-038280c0f799 · outbound

This paper cites Fedrl-d2d: Federated deep reinforcement learning-empowered resource allocation scheme for energy efficiency maximization in d2d- assisted 6g networks,.

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,

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.591989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d57db79-761b-4547-b65a-e24127e94a17 · outbound

This paper cites Optical wireless communications: Research challenges for mac layer,.

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,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T18:09:31.660857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers