2 papers
cs.DB2026
Taking the Leap: Efficient and Reliable Fine-Grained NUMA Migration in User-space
Felix Schuhknecht, Nick Rassau
Modern multi-socket architectures offer a single virtual address space, but physically divide main-memory across multiple regions, where each region is attached to a CPU and its co…
cs.CR2025
N-Parties Private Structure and Parameter Learning for Sum-Product Networks
Xenia Heilmann, Ernst Althaus, Mattia Cerrato +3
A sum-product network (SPN) is a graphical model that allows several types of probabilistic inference to be performed efficiently. In this paper, we propose a privacy-preserving pr…