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Decentralized Federated Learning with Blockchain by Noohi Sadiya is a document available to read on EtoBox.

What is Decentralized Federated Learning with Blockchain about?

This paper presents a decentralized federated learning system that utilizes blockchain and consensus algorithms to enhance privacy and security in machine learning. It addresses issues related to trust and incentives in traditional federated learning by proposing a new architecture called DFLBCB, which employs off-chain consensus and differential privacy techniques. Experimental results demonstrate the effectiveness of the proposed system in improving model performance while maintaining user privacy.

Author

Noohi Sadiya

Language

EN