Advances in data acquisition and sensor technologies are leading towards the development of “High Fan-in” architectures: widely distributed systems whose edges consist of nume...
Owen Cooper, Anil Edakkunni, Michael J. Franklin, ...
Lifted inference, handling whole sets of indistinguishable objects together, is critical to the effective application of probabilistic relational models to realistic real world ta...
Kristian Kersting, Youssef El Massaoudi, Fabian Ha...
Sensor networks present a number of novel programming challenges for application developers. Their inherent limitations of computational power, communication bandwidth, and energy...
Abstract— We present a distributed scheme for trust inference in peer-to-peer networks. Our work is in context of the NICE system, which is a platform for implementing cooperativ...
We propose a new genre of overlay network for disseminating information from popular but resource constrained sources. We call this communication primitive as Latency Gradated Ove...