Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2022.3142348 ◽

2022 ◽

pp. 1-1

Author(s):

Shengheng Liu ◽

Chong Zheng ◽

Yongming Huang ◽

Tony Q. S. Quek

Keyword(s):

Reinforcement Learning ◽

Privacy Preserving ◽

Distributed Reinforcement ◽

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Distributed Reinforcement Learning for Multi-robot Decentralized Collective Construction

Distributed Autonomous Robotic Systems - Springer Proceedings in Advanced Robotics ◽

10.1007/978-3-030-05816-6_3 ◽

2019 ◽

pp. 35-49 ◽

Author(s):

Guillaume Sartoretti ◽

Yue Wu ◽

William Paivine ◽

T. K. Satish Kumar ◽

Sven Koenig ◽

...

Keyword(s):

Reinforcement Learning ◽

Collective Construction ◽

Distributed Reinforcement ◽

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Privacy-Preserving Localization for Underwater Sensor Networks via Deep Reinforcement Learning

IEEE Transactions on Information Forensics and Security ◽

10.1109/tifs.2020.3045320 ◽

2021 ◽

Vol 16 ◽

pp. 1880-1895

Author(s):

Jing Yan ◽

Yuan Meng ◽

Xian Yang ◽

Xiaoyuan Luo ◽

Xinping Guan

Keyword(s):

Reinforcement Learning ◽

Sensor Networks ◽

Privacy Preserving ◽

Underwater Sensor Networks

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Multi-Agent Deep Reinforcement Learning Based Cooperative Edge Caching for Ultra-Dense Next-Generation Networks

IEEE Transactions on Communications ◽

10.1109/tcomm.2020.3044298 ◽

2020 ◽

pp. 1-1

Author(s):

Shuangwu Chen ◽

Zhen Yao ◽

Xiaofeng Jiang ◽

Jian Yang ◽

Lajos Hanzo

Keyword(s):

Reinforcement Learning ◽

Next Generation Networks ◽

Next Generation ◽

Multi Agent ◽

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A Distributed Reinforcement Learning Approach to In-network Congestion Control

2020 IEEE/CIC International Conference on Communications in China (ICCC) ◽

10.1109/iccc49849.2020.9238802 ◽

2020 ◽

Author(s):

Tianle Mai ◽

Haipeng Yao ◽

Xing Zhang ◽

Zehui Xiong ◽

Dusit Niyato

Keyword(s):

Reinforcement Learning ◽

Congestion Control ◽

Learning Approach ◽

Network Congestion ◽

Network Congestion Control ◽

Distributed Reinforcement

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Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) ◽

10.1109/iros45743.2020.9341605 ◽

2020 ◽

Author(s):

Yasuhiro Fujita ◽

Kota Uenishi ◽

Avinash Ummadisingu ◽

Prabhat Nagarajan ◽

Shimpei Masuda ◽

...

Keyword(s):

Reinforcement Learning ◽

Active Vision ◽

Mobile Manipulators ◽

Distributed Reinforcement

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Edge Caching for IoT Transient Data Using Deep Reinforcement Learning

IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society ◽

10.1109/iecon43393.2020.9255111 ◽

2020 ◽

Author(s):

Shuran Sheng ◽

Peng Chen ◽

Zhimin Chen ◽

Lenan Wu ◽

Hao Jiang

Keyword(s):

Reinforcement Learning ◽

Transient Data ◽

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A distributed reinforcement learning approach for energy and congestion-aware edge networks

Proceedings of the 16th International Conference on emerging Networking EXperiments and Technologies ◽

10.1145/3386367.3431670 ◽

2020 ◽

Author(s):

Alessio Sacco ◽

Flavio Esposito ◽

Guido Marchetto

Keyword(s):

Reinforcement Learning ◽

Learning Approach ◽

Distributed Reinforcement ◽

Edge Networks ◽

Congestion Aware

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Distributed Reinforcement Learning for Flexible and Efficient UAV Swarm Control

IEEE Transactions on Cognitive Communications and Networking ◽

10.1109/tccn.2021.3063170 ◽

2021 ◽

pp. 1-1

Author(s):

Federico Venturini ◽

Federico Mason ◽

Francesco Pase ◽

Federico Chiariotti ◽

Alberto Testolin ◽

...

Keyword(s):

Reinforcement Learning ◽

Uav Swarm ◽

Distributed Reinforcement

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A Resource-Constrained and Privacy-Preserving Edge Computing Enabled Clinical Decision System: A Federated Reinforcement Learning Approach

IEEE Internet of Things Journal ◽

10.1109/jiot.2021.3057653 ◽

2021 ◽

pp. 1-1

Author(s):

Zeyue Xue ◽

Pan Zhou ◽

Zichuan Xu ◽

Xiumin Wang ◽

Yulai Xie ◽

...

Keyword(s):

Reinforcement Learning ◽

Clinical Decision ◽

Privacy Preserving ◽

Edge Computing ◽

Learning Approach ◽

Resource Constrained ◽

Decision System ◽

System A ◽

Clinical Decision System

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A new approach for structural credit assignment in distributed reinforcement learning systems

2003 IEEE International Conference on Robotics and Automation (Cat. No.03CH37422) ◽

10.1109/robot.2003.1241758 ◽

2004 ◽

Author(s):

Zhong Yu ◽

Gu Guochang ◽

Zhang Rubo

Keyword(s):

Reinforcement Learning ◽

Learning Systems ◽

Credit Assignment ◽

New Approach ◽

Distributed Reinforcement

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