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

arXiv:2403.19178v1 Announce Type: new
Abstract: While centralized servers pose a risk of being a single point of failure, decentralized approaches like blockchain offer a compelling solution by implementing a consensus mechanism among multiple entities. Merging distributed computing with cryptographic techniques, decentralized technologies introduce a novel computing paradigm. Blockchain ensures secure, transparent, and tamper-proof data management by validating and recording transactions via consensus across network nodes. Federated Learning (FL), as a distributed machine learning framework, enables participants to collaboratively train models …

arxiv blockchain computing cryptographic cs.ai cs.cr cs.dc cs.lg decentralized distributed distributed computing entities failure federated federated learning mechanism networks novel offer point privacy risk servers single solution survey techniques technologies trust