The implications of decentralization in blockchained federated learning: Evaluating the impact of model staleness and inconsistencies

F Wilhelmi, N Afraz, E Guerra, P Dini - Computer Networks, 2024 - Elsevier
Blockchain promises to enhance distributed machine learning (ML) approaches such as
federated learning (FL) by providing further decentralization, security, immutability, and trust …
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The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies

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The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies

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