We address in this paper a particular instance of the multi-agent linear...
We introduce the safe best-arm identification framework with linear feed...
We propose the first regret-based approach to the Graphical Bilinear Ban...
Experimental design is an approach for selecting samples among a given s...
We introduce a new graphical bilinear bandit problem where a learner (or...
We investigate the theoretical limits of pipeline parallel learning of d...
As cellular networks become denser, a scalable and dynamic tuning of wir...
Privacy preserving networks can be modelled as decentralized networks (e...
In decentralized networks (of sensors, connected objects, etc.), there i...
Efficient and robust algorithms for decentralized estimation in networks...
In a wide range of statistical learning problems such as ranking, cluste...