ملف الباحث
Enrique Tomás Martínez Beltrán
ورقتان في مجموعة PaperMetrix
المنشورات
أوراق هذا المؤلف
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DART: A Solution for Decentralized Federated Learning Model Robustness Analysis
2024 · arXiv (Cornell University)
Federated Learning (FL) has emerged as a promising approach to address privacy concerns inherent in Machine Learning (ML) practices. However, conventional FL methods, particularly those following the Centralized FL (CFL) paradigm, utilize a central server …
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S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning
2025 · Open MIND
Decentralized Federated Learning (DFL) enables collaborative, privacy-preserving model training without relying on a central server. This decentralized approach reduces bottlenecks and eliminates single points of failure, enhancing scalability and resilience. However, DFL also introduces challenges, …