1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.CR2026
Pushing Forward Multi-Secret-Key Homomorphic Encryption for Private Average Aggregation
Miguel Morona-Mínguez, Fernando Pérez-González, Alberto Pedrouzo-Ulloa
Federated Learning enables multiple clients to train a shared model while keeping their local datasets isolated. However, the exchanged model updates may still leak sensitive infor…
cs.CR2026★ 1 cited
A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation
Miguel Morona-Mínguez, Alberto Pedrouzo-Ulloa, Fernando Pérez-González
Threshold Homomorphic Encryption (Threshold HE) is a good fit for implementing private federated average aggregation, a key operation in Federated Learning (FL). Despite its potent…