Welcome to my personal page :)
Short bio : I am a PhD Student at Grenoble Computer Science Laboratory - University Grenoble Alpes under the supervision of two amazing people Denis Trystram and Nguyen Kim Thang. Prior to this, I completed a Master's degree in Random Modelling at University Paris Diderot and a Bachelor's Degree in Mathematics at Sorbonne University. I visited the SaCS Lab in EPFL during summer 2023, where I worked on Knowledge Distillation. I also completed an internship at SNCF Réseau, focusing on anomaly detection as part of my end-of-study internship.
Currently, my research interests lie in optimization, machine learning and distributed system. From time to time, I also delve into the topics of bandit and reinforcement learning, and of course, I can't not escape from the recent trend in LLM, especially building RAG system for domain-specific applications.
Feel free to contact me via : tuan-anh.nguyen@inria.fr tiime.fr
Office Location :
IMAG Building, Office 468
150 Place du Torrent
38400 Saint-Martin d'Hères, France
News
October 2024 - I recently joined the GenAI team at Tiime Software where we will focus on building AI-powered algorithm for the accounting domain.
October 2024 - My PhD defense will take place on the 23rd October 2024 at Maison Jean Kuntzmann, amphitheater Jean Kuntzmann, University Grenoble-Alpes. The defense will start at 2pm.
July 2024 - I will give a few introductory lectures on AI at the GINSEN Summer School, organized by MIAI and Grenoble INP. The topics will span general machine learning, some basic neural network architectures and transformer.
May 2024 - Our research paper "Handling Delayed Feedback in Distributed Online Optimization : A Projection-Free approach" has been accepted to #ECMLPKDD2024. See you in Vilnius this September.
May 2024 - Our paper on "Cohort Parallel Federated Learning" is available on arxiv.
May 2024 - We successfully organised the 16th edition of "New challenges in scheduling theory" seminar, Aussois, France.
Dec 2023 - I gave a presentation on online optimization in distributed setting during the Frugal AI Workshop in Grenoble.
Nov 2023 - I participated in the FedMalin seminar in Nice, gave a small talk on online distributed learning.
Sep 2023 - Talk at Inria-EPFL workshop about knowledge distillation in Federated Learning.