3 papers
cs.LG2025
Verifiable Split Learning via zk-SNARKs
Rana Alaa, Darío González-Ferreiro, Carlos Beis-Penedo +3
Split learning is an approach to collaborative learning in which a deep neural network is divided into two parts: client-side and server-side at a cut layer. The client side execut…
cs.CR2025
Federated Anonymous Blocklisting across Service Providers and its Application to Group Messaging
David Soler, Carlos Dafonte, Manuel Fernández-Veiga +2
Instant messaging has become one of the most used methods of communication online, which has attracted significant attention to its underlying cryptographic protocols and security…
cs.LG2025
CNFP: Optimizing Cloud-Native Network Function Placement with Diffusion Models on the Cloud Continuum
Álvaro Vázquez Rodríguez, Manuel Fernández-Veiga, Carlos Giraldo-Rodríguez
The placement of Cloud-Native Network Functions across the Cloud-Continuum represents a core challenge in the orchestration of current 5G and future 6G networks. The process entail…