@inproceedings{252f66e6ad1e42f8bb10f2ec9a80ad45,
title = "Poster Abstract: OrderlessFL: A CRDT-Enabled Permissioned Blockchain for Federated Learning",
abstract = "Industries produce a large amount of data that can improve Machine Learning models. However, due to privacy issues, the data cannot be shared. Several Federated Learning (FL) systems have been introduced as private alternatives without considering Byzantine actors. Also, these systems are affected by the gradient staleness problem. Several blockchain-based FL systems are introduced to address Byzantine actors, which rely on Proof-of-Work-based (PoW) protocols and suffer from their limitations. We introduce OrderlessFL, a safe permissioned blockchain-based FL system using flCRDT, a CRDT for concurrent ML training and mitigating gradient staleness.",
keywords = "blockchain, conflict-free replicated data type, federated learning",
author = "Pezhman Nasirifard and Ruben Mayer and Jacobsen, \{Hans Arno\}",
note = "Publisher Copyright: {\textcopyright} 2022 Owner/Author.; 23rd International Middleware Conference, Middleware 2022 - Part of Middleware 2022 ; Conference date: 07-11-2022 Through 11-11-2022",
year = "2022",
month = nov,
day = "7",
doi = "10.1145/3565386.3565487",
language = "English",
series = "Middleware 2022 - Proceedings of the 23rd International Middleware Conference Demos and Posters, Part of Middleware 2022",
publisher = "Association for Computing Machinery, Inc",
pages = "7--8",
booktitle = "Middleware 2022 - Proceedings of the 23rd International Middleware Conference Demos and Posters, Part of Middleware 2022",
}