Scalable and Communication-efficient Decentralized Federated Edge
Learning with Multi-blockchain Framework

Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework

10 August 2020

Yang Zhang

Dusit Niyato

Papers citing "Scalable and Communication-efficient Decentralized Federated Edge Learning with Multi-blockchain Framework"

6 / 6 papers shown

Title
Fantastyc: Blockchain-based Federated Learning Made Secure and Practical William Boitier Antonella del Pozzo Álvaro García-Pérez Stephane Gazut Pierre Jobic ... Aurélien Mayoue Maxence Perion T. F. Rezende Deepika Singh Sara Tucci-Piergiovanni 25 1 0 05 Jun 2024
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 43 12 0 14 May 2023
An Efficient and Reliable Asynchronous Federated Learning Scheme for Smart Public Transportation Chenhao Xu Youyang Qu Tom H. Luan Peter W. Eklund Yong Xiang Longxiang Gao 33 34 0 15 Aug 2022
DFL: High-Performance Blockchain-Based Federated Learning Yongding Tian Zhuoran Guo Jiaxuan Zhang Zaid Al-Ars OOD FedML 31 10 0 28 Oct 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis Yi Liu Yuanshao Zhu James J. Q. Yu FedML 27 28 0 14 Oct 2021
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach Yi Liu S. Garg Jiangtian Nie Yan Zhang Zehui Xiong Jiawen Kang M. S. Hossain FedML 39 378 0 19 Jul 2020