Post-Doctoral Research Visit F/M Model placement in inference delivery networks

Contexte et atouts du poste

This PostDos is funded by the challenge Inria-Nokia Bell Labs: LearnNet (Learning Networks)

Mission confiée

Assignments :

In this postdoc, we will study the problem of AI model placement in an IDN. This is a challenging optimization problem that involves a non-trivial tradeoff between model effectiveness, inference latency, and resource availability while also dealing with the natural dynamicity of the network, e.g., due to users’ request process or changes in available computing and communication resources. 

We will also consider other metrics, such as energy consumption, in the objective functions and networking constraints for systems where the network presents some inelasticity (see also [1]). We will leverage multi-objective optimization techniques (e.g., Pareto efficient solutions) and transfer learning techniques to adapt models across nodes with different levels of knowled...