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

arXiv:2403.19178v1 Announce Type: cross
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 …

abstract arxiv blockchain computing consensus cs.ai cs.cr cs.dc cs.lg decentralized distributed distributed computing failure federated learning merging multiple networks novel privacy risk servers solution survey technologies trust type