Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning

13 May 2020

Papers citing "Proxy Experience Replay: Federated Distillation for Distributed Reinforcement Learning"

7 / 7 papers shown

Title
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 66 60 0 02 Aug 2022
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT Peiying Zhang Chao Wang Chunxiao Jiang Zhu Han FedML 17 146 0 03 Feb 2022
Communication-Efficient Consensus Mechanism for Federated Reinforcement Learning Xing Xu Rongpeng Li Zhifeng Zhao Honggang Zhang FedML 36 6 0 30 Jan 2022
Data-Free Knowledge Transfer: A Survey Yuang Liu Wei Zhang Jun Wang Jianyong Wang 40 48 0 31 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 46 76 0 25 Feb 2021
Federated Knowledge Distillation Hyowoon Seo Jihong Park Seungeun Oh M. Bennis Seong-Lyun Kim FedML 36 91 0 04 Nov 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 39 161 0 06 Aug 2020