NEO Seminar: Eduard Gorbunov — Federated Learning Can Find Friends That Are Advantageous and Help with Low-Resource Machine Translation

Title: Federated Learning Can Find Friends That Are Advantageous and Help with Low-Resource Machine Translation Abstract: In Federated Learning (FL), the distributed nature and heterogeneity of client data present both opportunities and challenges. While collaboration among clients can significantly enhance…

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Thesis defense

Caelin Kaplan, Phd Student in NEO team supervised by Giovanni NEGLIA, has defended his thesis on Friday, November 22nd, in Morgenstern Amphitheatre, from 2:00 pm. Congratulations Caelin! Thesis title: Inherent Trade-offs in Privacy-Preserving Machine Learning Abstract: Privacy-preserving ML techniques often…

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