Recent work on distributed, in-network aggregation assumes a benign population of participants. Unfortunately, modern distributed systems are plagued by malicious participants. In...
Minos N. Garofalakis, Joseph M. Hellerstein, Petro...
We study a multi-cell frequency-selective fading uplink channel from K user terminals (UTs) to B base stations (BSs). The BSs, assumed to be oblivious of the applied encoding sche...
We describe an approach to building brain-computer interfaces (BCI) based on graphical models for probabilistic inference and learning. We show how a dynamic Bayesian network (DBN...
For large global enterprises, providing adequate resources for organizational acculturation, the process in which employees learn about an organization’s culture, remains a chal...
Jennifer Thom-Santelli, David R. Millen, Darren Ge...
In ongoing research, a collaborative peer network application is being proposed to address the scalability limitations of centralized search engines. Here we introduce a local ada...