About

Today Artificial Intelligence, Cloud and Big Data technologies are shaping the new digital world. This digital world is producing massive amounts of data which is a rich mine of information that must be exploited to extract valuable data, knowledge and information for various applications. This massive volume of data should be analyzed to discover trends, unknown correlations and other useful information that can be used to make better decisions. Thus, the conduct of business has now returned to the analysis of this massive data using Big Data and Machine Learning technologies.
In this edition, METIS 2024 addresses the challenging topics of AI, Machine Learning, LLMs Cloud, and Risk Management.

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
11:10 – 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

February 29 ,2024 March 11 ,2024

Abstract submission deadline

March 7 ,2024 March 18 ,2024

Paper submission deadline

April 22 ,2024

Accept/Reject notification

May 12 ,2024

Camera ready copy due

May 27-28 ,2024

Metis Spring school

May 29-31 ,2024

Netys Conference

Proceedings

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

Partners & Sponsors