Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
In this paper, we explore fast algorithms for computing on encrypted polynomials. More specifically, we describe efficient algorithms for computing the Discrete Fourier Transform,...
— Many network operators offer some type of tiered service, in which users may select only from a small set of service levels (tiers). In this work, we study the problem of desig...
We propose a greedy algorithm to investigate the problem of how to schedule of a set of feasible transmissions under physical interference model. We also consider the fairness in s...
In this chapter, we present some of the biologically-inspired approaches, developed within the context of the European project BIONETS for enabling autonomic pervasive computing en...