Federated Deep Reinforcement Learning

Federated Deep Reinforcement Learning

24 January 2019

Papers citing "Federated Deep Reinforcement Learning"

15 / 15 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
FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng Xihe Qiu Xiaoyu Tan Yaochu Jin FedML 96 0 0 23 Sep 2024
Federated Offline Policy Optimization with Dual Regularization Sheng Yue Zerui Qin Xingyuan Hua Yongheng Deng Ju Ren OffRL 32 0 0 24 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 32 2 0 29 Mar 2024
FedHQL: Federated Heterogeneous Q-Learning Flint Xiaofeng Fan Yining Ma Zhongxiang Dai Cheston Tan Bryan Kian Hsiang Low Roger Wattenhofer FedML 24 7 0 26 Jan 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 31 4 0 17 Dec 2022
Federated Offline Reinforcement Learning D. Zhou Yufeng Zhang Aaron Sonabend-W Zhaoran Wang Junwei Lu Tianxi Cai OffRL 34 13 0 11 Jun 2022
Synergy between 6G and AI: Open Future Horizons and Impending Security Risks E. Yaacoub 37 1 0 20 Mar 2022
Differentially Private Graph Classification with GNNs Tamara T. Mueller Johannes C. Paetzold Chinmay Prabhakar Dmitrii Usynin Daniel Rueckert Georgios Kaissis 50 18 0 05 Feb 2022
Federated Reinforcement Learning for Collective Navigation of Robotic Swarms Seongin Na Tomáš Rouček Jiří Ulrich Jan Pikman T. Krajník Barry Lennox F. Arvin 34 34 0 02 Feb 2022
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 25 1 0 28 Dec 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 37 76 0 25 Feb 2021
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits Taehyeon Kim Sangmin Bae Jin-woo Lee Se-Young Yun FedML 29 15 0 06 Dec 2020
The Tradeoff Between Privacy and Accuracy in Anomaly Detection Using Federated XGBoost Mengwei Yang Linqi Song Jie Xu Congduan Li Guozhen Tan FedML 18 30 0 16 Jul 2019
On the Convergence of FedAvg on Non-IID Data Xiang Li Kaixuan Huang Wenhao Yang Shusen Wang Zhihua Zhang FedML 82 2,283 0 04 Jul 2019