Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning. (arXiv:2201.05286v1 [cs.LG])

Federated learning (FL) is an emerging promising privacy-preserving machine
learning paradigm and has raised more and more attention from researchers and
developers. FL keeps users' private data on devices and exchanges the gradients
of local models to cooperatively train a shared Deep Learning (DL) model on
central custodians. However, the security and fault tolerance of FL have been
increasingly discussed, because its central custodian mechanism or star-shaped
architecture can be vulnerable to malicious attacks or software failures. To
address these …

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