FLoomChecker: Repelling Free-riders in Federated Learning via Training Integrity Verification

Federated learning is a mechanism that allows participating clients to train locally with their own data in order to receive rewards, thus avoiding the transfer of data to a central server and protecting users' privacy. However, some "lazy" clients may adopt the strategy of fabricatin...

Full description

Bibliographic Details

Published in:	Proceedings - International Conference on Parallel and Distributed Systems pp. 194 - 201
Main Authors:	Liang, Guanghao, Chang, Shan, Dai, Minghui, Zhu, Hongzi
Format:	Conference Proceeding
Language:	English
Published:	IEEE 10.10.2024
Subjects:	Bloom filter Computational modeling Data models Data privacy Federated learning Filters Free-rider attack Servers TEE Training Training data Training integrity verification
ISSN:	2690-5965
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!