at Google ScholarTitle 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
DOI: https://doi.org/10.1145/3565386.3565487
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 Faculties > Faculty of Mathematics, Physics und Computer Science Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Data Systems Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Data Systems > Chair Data Systems - Univ.-Prof. Dr. Ruben Mayer Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science |
| 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: | 05 Feb 2024 07:31 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76050 |