6 citations · 12 across the 5 of their papers we have counts for
Showing 2022Show all
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cs.LG2022★ 3 cited
Transfer Learning via Test-Time Neural Networks Aggregation
Bruno Casella, Alessio Barbaro Chisari, Sebastiano Battiato +1
It has been demonstrated that deep neural networks outperform traditional machine learning. However, deep networks lack generalisability, that is, they will not perform as good as…
cs.LG2022★ 2 cited
FedER: Federated Learning through Experience Replay and Privacy-Preserving Data Synthesis
Matteo Pennisi, Federica Proietto Salanitri, Giovanni Bellitto +4
In the medical field, multi-center collaborations are often sought to yield more generalizable findings by leveraging the heterogeneity of patient and clinical data. However, recen…