A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization

14 October 2023

Papers citing "A Blockchain-empowered Multi-Aggregator Federated Learning Architecture in Edge Computing with Deep Reinforcement Learning Optimization"

7 / 7 papers shown

Title
FedALA: Adaptive Local Aggregation for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 54 217 0 02 Dec 2022
Latency Optimization for Blockchain-Empowered Federated Learning in Multi-Server Edge Computing Dinh C. Nguyen Seyyedali Hosseinalipour David J. Love P. Pathirana Christopher G. Brinton 63 48 0 18 Mar 2022
Blockchain and Federated Edge Learning for Privacy-Preserving Mobile Crowdsensing Qin Hu Zhilin Wang Minghui Xu Xiuzhen Cheng 55 33 0 16 Oct 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Quoc-Viet Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 66 430 0 05 Apr 2021
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus Yuzheng Li Chuan Chen Nan Liu Huawei Huang Zibin Zheng Qiang Yan FedML 62 402 0 02 Apr 2020
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 233 8,856 0 25 Aug 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 294 13,214 0 09 Sep 2015