GFL: A Decentralized Federated Learning Framework Based On Blockchain

10/21/2020
by   Yifan Hu, et al.
0

Due to people's emerging concern about data privacy, federated learning(FL) is currently being widely used. Conventional federated learning uses a highly centralized architecture, but in a real federated learning scenario, due to the highly distributed of data nodes and the existence of malicious data nodes, It is of great challenges for conventional federated learning to improve the utilization of network bandwidth and maintained the security and robustness of federated learning under malicious node attacks. In this paper, we propose an innovative Ring decentralized federated learning algorithm(RDFL) that not only makes full use of the bandwidth of the network but also improves the security and robustness of federated learning under malicious node attacks. At the same time, we encapsulated RDFL into a blochain-based federated learning framework called Galaxy Federated Learning framework<cit.> and used real data to perform experiments on the GFL to verify the effectiveness of the GFL.

READ FULL TEXT

Authors

page 4

08/21/2019

Decentralized Federated Learning: A Segmented Gossip Approach

The emerging concern about data privacy and security has motivated the p...
04/02/2020

A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus

Federated learning has been widely studied and applied to various scenar...
10/22/2021

MANDERA: Malicious Node Detection in Federated Learning via Ranking

Federated learning is a distributed learning paradigm which seeks to pre...
12/22/2021

FLoBC: A Decentralized Blockchain-Based Federated Learning Framework

The rapid expansion of data worldwide invites the need for more distribu...
05/23/2022

Fed-DART and FACT: A solution for Federated Learning in a production environment

Federated Learning as a decentralized artificial intelligence (AI) solut...
04/15/2021

Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent

By leveraging deep learning based technologies, the data-driven based ap...
05/23/2022

CELEST: Federated Learning for Globally Coordinated Threat Detection

The cyber-threat landscape has evolved tremendously in recent years, wit...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.