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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…
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…
NEO Seminar: Diego Goldsztajn – Asymptotically optimal policies for weakly coupled Markov decision processes
Speaker: Diego Goldsztajn, postdoctorant within NEO team, working with Konstantin Avrachenkov Title: Asymptotically optimal policies for weakly coupled Markov decision processes Date and Time: 12 November 2024, 3 p.m., Inria (Lagrange Gris), Sophia Antipolis Abstract: We will consider the problem of maximizing the…
NEO Seminar: Samir Perlaza – The Generalization Error of Machine Learning Algorithms
Speaker: Samir Perlaza, permanent member of the NEO team Title: The Generalization Error of Machine Learning Algorithms Date and Time: 29 October 2024, at 2 p.m., Amphitheater Morgenstern (Kahn building), Inria, Sophia Antipolis Video recording: Available soon ! Abstract: In this…
NEO Seminar: Madhu Dhiman – Integrative Modeling and Analysis of the Interplay Between Epidemic and News Propagation Processes
Speaker: Madhu Dhiman, IIT Bombay Title: Integrative Modeling and Analysis of the Interplay Between Epidemic and News Propagation Processes Date and Time: 15 October 2024, at 2 p.m., Lagrange Gris (L101), Inria, Sophia Antipolis Abstract: The COVID-19 pandemic has witnessed the role of online…
