The effectiveness of knowledge transfer using classification algorithms depends on the difference between the distribution that generates the training examples and the one from wh...
Networked, distributed real world sensing is an increasingly prominent topic in computing and has quickly expanded from resource constrained “sensor networks” measuring simple...
A new public-key model for resettable zero-knowledge (rZK) protocols, which is an extension and generalization of the upper-bounded public-key (UPK) model introduced by Micali and ...
High throughput glycoproteomics, similar to genomics and proteomics, involves extremely large volumes of distributed, heterogeneous data as a basis for identification and quantifi...
Satya Sanket Sahoo, Christopher Thomas, Amit P. Sh...
Traditional approaches to distributed problem solving have treated the problem as one of distributed search. In this paper, we propose an alternative, logic-based view of distribut...