Abstract. Writing multithreaded software for multicore computers confronts many developers with the difficulty of finding parallel programming errors. In the past, most parallel d...
Frank Eichinger, Victor Pankratius, Philipp W. L. ...
Recommender systems have been proposed to exploit the potential of social network by filtering the information and offer recommendations to a user that he is predicted to like. Co...
We present collaborative peer-to-peer algorithms for the problem of approximating frequency counts for popular items distributed across the peers of a large-scale network. Our alg...
Background: In the current era of scientific research, efficient communication of information is paramount. As such, the nature of scholarly and scientific communication is changi...
J. Lynn Fink, Pablo Fernicola, Rahul Chandran, Sav...
We propose PASTE, the first differentially private aggregation algorithms for distributed time-series data that offer good practical utility without any trusted server. PASTE add...