Abstract—Reducing resource usage is one of the most important optimization objectives in behavioral synthesis due to its direct impact on power, performance and cost. The datapat...
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
We propose a new notion of secure multiparty computation aided by a computationally-powerful but untrusted “cloud” server. In this notion that we call on-the-fly multiparty c...
Bandit convex optimization is a special case of online convex optimization with partial information. In this setting, a player attempts to minimize a sequence of adversarially gen...
The HW/SW partitioning problem addressed in this paper is one of the key steps in the co-design flow of heterogeneous embedded systems. Generally the aim is to provide solutions t...
Luc Bianco, Michel Auguin, Guy Gogniat, Alain Pega...