most citedTransfer Learning in Pre-Trained Large Language Models for Malware Detection Based on System Calls

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

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cs.LG2025

S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning

Pedro Miguel Sánchez Sánchez, Enrique Tomás Martínez Beltrán, Chao Feng +3

Decentralized Federated Learning (DFL) enables collaborative, privacy-preserving model training without relying on a central server. This decentralized approach reduces bottlenecks…

cs.LG2024

ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes

Pedro Miguel Sánchez Sánchez, Enrique Tomás Martínez Beltrán, Miguel Fernández Llamas +3

Decentralized Federated Learning (DFL) trains models in a collaborative and privacy-preserving manner while removing model centralization risks and improving communication bottlene…