2 papers
cs.CL2025
Evaluating Compact LLMs for Zero-Shot Iberian Language Tasks on End-User Devices
Luís Couto Seller, Íñigo Sanz Torres, Adrián Vogel-Fernández +4
Large Language Models have significantly advanced natural language processing, achieving remarkable performance in tasks such as language generation, translation, and reasoning. Ho…
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…