Fantastyc: Blockchain-based Federated Learning Made Secure and Practical
<|reference_start|>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 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.<|reference_end|>
@article{boitier2024fantastyc:,
    title={Fantastyc: Blockchain-based Federated Learning Made Secure and Practical},
    author={William Boitier, Antonella Del Pozzo, 'Alvaro Garc'ia-P'erez,
  Stephane Gazut, Pierre Jobic, Alexis Lemaire, Erwan Mahe, Aurelien Mayoue,
  Maxence Perion, Tuanir Franca Rezende, Deepika Singh, Sara Tucci-Piergiovanni},
    journal={arXiv preprint arXiv:2406.03608},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.03608},
    primaryClass={cs.CR cs.DC}
}