Contexte et atouts du poste

This PhD thesis is part of the Inria–Hivenet Challenge Cupseli: Collaborative Unified Platform for a Scalable and Efficient Learning Infrastructure. Cupseli aims to enable large-scale AI training and inference on distributed, heterogeneous, and potentially volatile computing resources, while preserving security, privacy, and performance.

The PhD candidate will be hired by Hivenet (soon to become Antimatter) in Cannes, but mostly hosted at the Inria Centre at Université Côte d’Azur, in Sophia Antipolis, and will work in the Inria team NEO, as well as with Hivenet. The thesis is part of the Security and Privacy axis of Cupseli, which focuses on protecting distributed learning systems against malicious behavior and information leakage.

The research activity will be supervised by:

Chuan Xu, Inria, 
Giovanni Neglia, Igor Carrara, Hivenet, 

Mission confiée

Context