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Objective-Aware Reputation-Enabled Blockchain-Based Federated Learning

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Blockchain and Applications, 4th International Congress (BLOCKCHAIN 2022)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 595))

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Abstract

Federated Learning (FL) is a distributed-collaborative machine learning framework to overcome the challenges of data silos and data privacy. The conventional FL enhances data owners’ privacy by maintaining their data on devices. However, assuring the quality of data and model verification is challenging since no one contributor can see the others’ data. The problem becomes even more challenging if data is not independent and identically distributed (Non-IID). This study proposes a multi-channel objective-aware validation method to identify valuable contributors to the FL model on a blockchain network with Non-IID data. We implement the proposed system on Hyperledger Fabric by utilizing a multi-layer deep learning model. The evaluation results demonstrate the effectiveness of the proposed approach.

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Notes

  1. 1.

    http://yann.lecun.com/exdb/mnist/.

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Author information

Authors and Affiliations

  1. University of Windsor, Windsor, Canada

    Samaneh Miri Rostami, Saeed Samet & Ziad Kobti

Authors
  1. Samaneh Miri Rostami
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  2. Saeed Samet
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  3. Ziad Kobti
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Corresponding author

Correspondence to Samaneh Miri Rostami .

Editor information

Editors and Affiliations

  1. Departamento de Informática y Automática, University of Salamanca, Salamanca, Spain

    Javier Prieto

  2. Parque TecnolĂłgico de la Salud (PTS), Granada, Spain

    Francisco Luis BenĂ­tez MartĂ­nez

  3. University of Urbino Carlo Bo, Urbino, Italy

    Stefano Ferretti

  4. Spanish National Research Council (CSIC), Madrid, Spain

    David Arroyo Guardeño

  5. Facultad de Derecho, University of Salamanca, Salamanca, Spain

    Pedro Tomás Nevado-Batalla

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Rostami, S.M., Samet, S., Kobti, Z. (2023). Objective-Aware Reputation-Enabled Blockchain-Based Federated Learning. In: Prieto, J., Benítez Martínez, F.L., Ferretti, S., Arroyo Guardeño, D., Tomás Nevado-Batalla, P. (eds) Blockchain and Applications, 4th International Congress . BLOCKCHAIN 2022. Lecture Notes in Networks and Systems, vol 595. Springer, Cham. https://doi.org/10.1007/978-3-031-21229-1_24

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