most citedFederated Learning with Quantum Computing and Fully Homomorphic Encryption: A Novel Computing Paradigm Shift in Privacy-Preserving ML

4 citations · 6 across the 3 of their papers we have counts for

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cs.LG2024

Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources

Siddhant Dutta, Iago Leal de Freitas, Pedro Maciel Xavier +2

Federated Learning (FL) is a decentralized machine learning approach that has gained attention for its potential to enable collaborative model training across clients while protect…