Incentivized Federated Learning with Local Differential Privacy Using Permissioned Blockchains

Author:

De Chaudhury Saptarshi,Reddy Likhith,Varun Matta,Sengupta Tirthankar,Chakraborty Sandip,Sural Shamik,Vaidya Jaideep,Atluri Vijayalakshmi

Publisher

Springer Nature Switzerland

Reference42 articles.

1. Abadi, M., et al.: Deep learning with differential privacy. In: Proceedings of the ACM SIGSAC Conference on Computer and Communications Security, pp. 308—318 (2016)

2. Akhil Vasishta, M.V., Palanisamy, B., Sural, S.: Decentralized authorization using hyperledger fabric. In: IEEE International Conference on Blockchain (Blockchain), pp. 238–243 (2022)

3. Androulaki, E., et al.: Hyperledger fabric: a distributed operating system for permissioned blockchains. In: Proceedings of the Thirteenth EuroSys Conference, pp. 1–15 (2018)

4. Bagdasaryan, E., et al.: How to backdoor federated learning. In: Proceedings of the Twenty Third International Conference on Artificial Intelligence and Statistics, pp. 2938–2948 (2020)

5. Bhowmick, A., Duchi, J., Freudiger, J., Kapoor, G., Rogers, R.: Protection against reconstruction and its applications in private federated learning. arXiv preprint arXiv:1812.00984 (2018)

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