About

The design of advanced Machine Learning algorithms is a highly
challenging research topic of a paramount importance. The METIS school
this year aims at presenting a general overview of the some of the major
current Trends in Machine Learning. The program includes a tutorial
proving some basics and fundamental notions, as well as a series of 15
talks on specific topics illustrating the research issues addressed
nowadays in Machine Learning. The tutorial and the talks are given by
experts in the area, presenting works that have been published in top
notch conferences and journals.

Organizers

⚪ Ahmed Bouajjani

⚪ Mohammed Erradi

⚪ Rachid Guerraoui

METIS Program

MONDAY May 27
08:00 – 08:45 Registration
08:45 – 09:00 Opening Session
09:00 – 10:30 Hardware-based Confidential Computing: verifying Arm-V9 CCA
Gustavo Petri
, Amazon, United Kingdom
10:30 – 11:00 Coffee Break
11:00 – 12:30 Hardware-based Confidential Computing: verifying Arm-V9 CCA
Gustavo Petri
,
Amazon, United Kingdom
12:30 – 14:00 Lunch
14:00 – 15:30 Introduction to Distributed ML workloads with Ray on Kubernetes
Abdefattah Sghiouar, Google
15:30 – 16:00 Coffee Break
16:00 – 1800 Optimal transport for machine learning
Hicham Janati, Telecom Paris, France
TUESDAY May 28
09:00 – 10:30 Optimizing Storage Solutions for AI Applications
Rafael Pires, EPFL, Swiss
10:30 – 11:00 Coffee Break
11:00 – 12:30 Collaborative Learning in the Age of LLMs: Challenges and Outlook
Martijn de Vos, EPFL, Swiss
12:30 – 14:00 Lunch
14:00 – 15:30 Tutorial on Risk Management
Roberto Baldoni, Sapienza Univ. of Rome, Italy
15:30 – 16:00 Coffee Break
16:00 – 18:00 Tutorial on Risk Management
Roberto Baldoni, Sapienza Univ. of Rome, Italy
Dates

March 1st, 2025 → March 15th, 2025

Abstract submission deadline

March 8th, 2025 → March 15th, 2025

Paper submission deadline

April 16th ,2025

Accept/Reject notification

May 21-23 ,2025

Netys Conference

Proceedings

Revised selected papers will be published as a post-proceedings in Springer's LNCS "Lecture Notes in Computer Science"

Partners & Sponsors