Cited By
View all- Nasirifard PMayer RJacobsen H(2023)OrderlessChainProceedings of the 24th International Middleware Conference10.1145/3590140.3629111(137-150)Online publication date: 27-Nov-2023
OrderlessFL: a CRDT-enabled permissioned blockchain for federated learning: poster abstract
Pages 7 - 8
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.
References
[1]
K. Bonawitz, H. Eichner, W. Grieskamp, and et al. 2019. Towards Federated Learning at Scale: System Design. PMLR (2019).
[2]
F. Kohlbrenner, P. Nasirifard, C. Löbel, and H.-A. Jacobsen. 2019. A Blockchain-Based Payment and Validity Check System for Vehicle Services. In Middleware Demos and Posters.
[3]
Q. Li, Z. Wen, Z. Wu, and et al. 2021. A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection. IEEE TKDE (2021).
[4]
V. Mugunthan, R. Rahman, and L. Kagal. 2020. BlockFLow: An Accountable and Privacy-Preserving Solution for Federated Learning. CoRR (2020).
[5]
P. Nasirifard, R. Mayer, and H.-A. Jacobsen. 2019. FabricCRDT: A Conflict-free Replicated Datatypes Approach to Permissioned Blockchains. In Middleware.
[6]
P. Nasirifard, R. Mayer, and H.-A. Jacobsen. 2022. OrderlessChain: A CRDT-Enabled Blockchain Without Total Global Order of Transactions. In Middleware Demos and Posters.
[7]
P. Nasirifard, R. Mayer, and H.-A. Jacobsen. 2022. OrderlessChain: Do Permissioned Blockchains Need Total Global Order of Transactions? CoRR (2022). arXiv:2210.01477
[8]
P. Ramanan and K. Nakayama. 2020. BAFFLE : Blockchain Based Aggregator Free Federated Learning. In IEEE Blockchain.
[9]
M. Shapiro, N. Preguiça, C. Baquero, and M. Zawirski. 2011. Conflict-Free Replicated Data Types. In SSS.
[10]
W. Zhang, S. Gupta, X. Lian, and J. Liu. 2016. Staleness-Aware Async-SGD for Distributed Deep Learning. In IJCAI.
[11]
W. Zhilin and H. Qin. 2021. Blockchain-based Federated Learning: A Comprehensive Survey. CoRR (2021). arXiv:2110.02182
Index Terms
- OrderlessFL: a CRDT-enabled permissioned blockchain for federated learning: poster abstract
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Published In
November 2022
32 pages
ISBN:9781450399319
DOI:10.1145/3565386
- General Chairs:
- Kaiwen Zhang,
- Abdelouahed Gherbi,
- Paolo Bellavista
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Published: 22 November 2022
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November 7 - 11, 2022
Quebec City, Quebec, Canada
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View all- Nasirifard PMayer RJacobsen H(2023)OrderlessChainProceedings of the 24th International Middleware Conference10.1145/3590140.3629111(137-150)Online publication date: 27-Nov-2023
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