Federated Reinforcement Learning: Techniques, Applications, and Open
Challenges

Federated Reinforcement Learning: Techniques, Applications, and Open Challenges

26 August 2021

Papers citing "Federated Reinforcement Learning: Techniques, Applications, and Open Challenges"

18 / 18 papers shown

Title
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 22 0 0 15 May 2025
Achieving Tighter Finite-Time Rates for Heterogeneous Federated Stochastic Approximation under Markovian Sampling Feng Zhu Aritra Mitra Robert W. Heath FedML 36 0 0 15 Apr 2025
Blockchain-assisted Demonstration Cloning for Multi-Agent Deep Reinforcement Learning Ahmed Alagha Jamal Bentahar Hadi Otrok Shakti Singh R. Mizouni 53 3 0 19 Jan 2025
SwiftRL: Towards Efficient Reinforcement Learning on Real Processing-In-Memory Systems Kailash Gogineni Sai Santosh Dayapule Juan Gómez Luna Karthikeya Gogineni Peng Wei Tian-Shing Lan Mohammad Sadrosadati Onur Mutlu Guru Venkataramani 47 10 0 07 May 2024
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening Hei Yi Mak Flint Xiaofeng Fan Luca A. Lanzendörfer Cheston Tan Wei Tsang Ooi Roger Wattenhofer FedML 24 2 0 29 Mar 2024
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling Nicolò Dal Fabbro A. Mitra George J. Pappas FedML 35 12 0 14 May 2023
Federated Ensemble-Directed Offline Reinforcement Learning Desik Rengarajan N. Ragothaman D. Kalathil S. Shakkottai OffRL 24 1 0 04 May 2023
Learning Complex Teamwork Tasks Using a Given Sub-task Decomposition Elliot Fosong Arrasy Rahman Ignacio Carlucho Stefano V. Albrecht 19 5 0 09 Feb 2023
Generalization of Deep Reinforcement Learning for Jammer-Resilient Frequency and Power Allocation Swatantra Kafle Jithin Jagannath Zackary Kane Noor Biswas P. Kumar Anu Jagannath 23 1 0 04 Feb 2023
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning Sayak Mukherjee Ramij-Raja Hossain Yuan Liu W. Du Veronica Adetola Sheik M. Mohiuddin Qiuhua Huang Tianzhixi Yin Ankit Singhal 12 4 0 17 Dec 2022
Decision Market Based Learning For Multi-agent Contextual Bandit Problems Wenlong Wang T. Pfeiffer 16 1 0 01 Dec 2022
Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control Ziyan Yin Zhe Wang Jun Li Ming Ding Wen Chen Shi Jin 33 13 0 04 Nov 2022
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control Zixuan Zhang Yuning Jiang Yuanming Shi Ye Shi Wei Chen 46 13 0 04 Oct 2022
AVDDPG: Federated reinforcement learning applied to autonomous platoon control Christian Boin Lei Lei Simon X. Yang 16 4 0 05 Jul 2022
Linear Stochastic Bandits over a Bit-Constrained Channel A. Mitra Hamed Hassani George J. Pappas 34 8 0 02 Mar 2022
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 193 434 0 04 Mar 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,685 0 14 Apr 2018
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning Jakob N. Foerster Nantas Nardelli Gregory Farquhar Triantafyllos Afouras Philip H. S. Torr Pushmeet Kohli Shimon Whiteson OffRL 111 595 0 28 Feb 2017