Showing cs.LGShow all
3 papers · 1 filter
cs.LG2026
Expected Gain-based Escalation in Vertical Federated Learning
Mohamad Mestoukirdi, Vincent Corlay
Collaborative inference can improve predictive performance by integrating complementary information across agents, but applying collaborative fusion to every sample can incur unnec…
cs.LG2019
On the CVP for the root lattices via folding with deep ReLU neural networks
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
Point lattices and their decoding via neural networks are considered in this paper. Lattice decoding in Rn, known as the closest vector problem (CVP), becomes a classification prob…
cs.LG2019
A lattice-based approach to the expressivity of deep ReLU neural networks
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
We present new families of continuous piecewise linear (CPWL) functions in Rn having a number of affine pieces growing exponentially in . We show that these functions can be see…