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OrderlessFL : a CRDT-enabled permissioned blockchain for federated learning

Title data

Nasirifard, Pezhman ; Mayer, Ruben ; Jacobsen, Hans-Arno:
OrderlessFL : a CRDT-enabled permissioned blockchain for federated learning.
In: Proceedings of the 23rd International Middleware Conference Demos and Posters. - New York : Association for Computing Machinery , 2022 . - pp. 7-8
ISBN 978-1-4503-9931-9

Abstract in another language

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.

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Data Systems > Chair Data Systems - Univ.-Prof. Dr. Ruben Mayer
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 26 Apr 2023 10:49
Last Modified: 26 Apr 2023 10:49