Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning

28 March 2024

Papers citing "Enhancing Trust and Privacy in Distributed Networks: A Comprehensive Survey on Blockchain-based Federated Learning"

7 / 7 papers shown

Title
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey J. H. Liu Yao Du Kun Yang Yan Wang Xiping Hu Z. Wang Y. Liu Peng Sun Azzedine Boukerche Victor C.M. Leung 33 0 0 03 May 2025
Efficient Asynchronous Federated Learning with Sparsification and Quantization Juncheng Jia Ji Liu Chendi Zhou Hao Tian M. Dong Dejing Dou FedML 34 10 0 23 Dec 2023
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices Ji Liu Tianshi Che Yang Zhou Ruoming Jin H. Dai Dejing Dou P. Valduriez 30 12 0 18 Dec 2023
A Systematic Survey of Blockchained Federated Learning Zhilin Wang Qin Hu Minghui Xu Zhuang Yan Yawei Wang Xiuzhen Cheng FedML 40 45 0 05 Oct 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 168 784 0 15 Feb 2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation Jun Li Yumeng Shao Kang Wei Ming Ding Chuan Ma Long Shi Zhu Han Vincent Poor FedML 55 150 0 18 Jan 2021
BlockSci: Design and applications of a blockchain analysis platform Harry A. Kalodner Steven Goldfeder Alishah Chator Malte Möser Arvind Narayanan 32 194 0 08 Sep 2017