On the Decentralization of Blockchain-enabled Asynchronous Federated Learning
Author:
Affiliation:
1. Nokia Bell Labs,Stuttgart,Germany
2. CTTC/CERCA,Barcelona,Spain
Funder
Generalitat de Catalunya
CHIST-ERA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10175164/10175395/10175411.pdf?arnumber=10175411
Reference33 articles.
1. Age of Information: An Introduction and Survey
2. Blockchain-Enabled Asynchronous Federated Learning in Edge Computing
3. Pytorch: An imperative style, high-performance deep learning library;paszke;Advances in Neural IInformation Processing Systems,2019
4. BlockSim
5. Federated learning under distributed concept drift;jothimurugesan;International Conference on Artificial Intelligence and Statistics,2023
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1. Wait or Not to Wait: Evaluating Trade-Offs between Speed and Precision in Blockchain-based Federated Aggregation;2024 IEEE 44th International Conference on Distributed Computing Systems Workshops (ICDCSW);2024-07-23
2. Erdos: A Novel Blockchain Consensus Algorithm with Equitable Node Selection and Deterministic Block Finalization;Data Science and Engineering;2024-06-06
3. The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies;Computer Networks;2024-05
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