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Author

A. Jain

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Conference Aug 2026

A Review on Blockchain-Enabled Federated Learning: Security, Privacy, Scalability and Incentive Challenges

Federated Learning (FL) enables distributed machine learning without sharing raw data, but its reliance on a central aggregation server introduces critical vulnerabilities gradient inversion attacks, Byzantine poisoning, free-riding by rational participants, and single-point-of-failure risk. Blockchain has been propose...

Raman Dubey, A. Jain, Richa Sharma · 0 citations
Conference Aug 2026

Secure Aggregation in Federated Learning for Non-IID Data Environments

Training machine learning models across many institutions without moving raw data is attractive in theory, but the standard Federated Learning setup hands enormous power to one central aggregation server that participants must trust blindly. what happens when that trust assumption is violated and build a system, that d...

Raman Dubey, A. Jain, Richa Sharma · 0 citations

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