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20172025
most citedClustered Federated Learning Architecture for Network Anomaly Detection in Large Scale Heterogeneous IoT Networks

139 citations · 228 across the 6 of their papers we have counts for

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cs.CR2025

Privacy-Preserving Feature Valuation in Vertical Federated Learning Using Shapley-CMI and PSI Permutation

Unai Laskurain, Aitor Aguirre-Ortuzar, Urko Zurutuza

Federated Learning (FL) is an emerging machine learning paradigm that enables multiple parties to collaboratively train models without sharing raw data, ensuring data privacy. In V…