54 citations · 54 across the 2 of their papers we have counts for
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cs.LG2025
Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection
Qinjun Fei, Nuria Rodríguez-Barroso, María Victoria Luzón +2
In cross-silo Federated Learning (FL), client selection is critical to ensure high model performance, yet it remains challenging due to data quality decompensation, budget constrai…
cs.LG2020★ 54 cited
Dynamic Defense Against Byzantine Poisoning Attacks in Federated Learning
Nuria Rodríguez-Barroso, Eugenio Martínez-Cámara, M. Victoria Luzón +1
Federated learning, as a distributed learning that conducts the training on the local devices without accessing to the training data, is vulnerable to Byzatine poisoning adversaria…