Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
Federated Learning is a decentralized framework that enables multiple clients to collaboratively train a machine learning model under the orchestration of a central server without sharing their local data. The centrality of this framework represents a point of failure which is addressed in literatur...
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Zusammenfassung: | Federated Learning is a decentralized framework that enables multiple clients
to collaboratively train a machine learning model under the orchestration of a
central server without sharing their local data. The centrality of this
framework represents a point of failure which is addressed in literature by
blockchain-based federated learning approaches. While ensuring a
fully-decentralized solution with traceability, such approaches still face
several challenges about integrity, confidentiality and scalability to be
practically deployed. In this paper, we propose Fantastyc, a solution designed
to address these challenges that have been never met together in the state of
the art. |
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DOI: | 10.48550/arxiv.2406.03608 |