Date: Tuesday 18th February 2025, 2 p.m. Place: Lagrange Gris (L101), Inria Sophia Antipolis Title: Green Federated Learning: Scheduling clients’ participation to reduce the training carbon footprint Abstract: With the growing adoption of deep learning models in everyday applications, reducing…
Date: Tuesday 21st January 2025, 2 p.m. Place: Lagrange Gris (L101), Inria Sophia Antipolis Title: Two Choice Behavioral Game Dynamics with Myopic-Rational and Herding Players Abstract: In classical game theory, the players are assumed to be rational and intelligent, which…
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…
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…
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…
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…
