This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
In this paper we propose a query-driven approach for tuning the time/energy trade-off in sensor networks with mobile sensors. The tuning factors include re-positioning of mobile s...
Vladimir Zadorozhny, Divyasheel Sharma, Prashant K...
We propose DHCS, a method of distributed, hierarchical clustering and summarization for online data analysis and mining in sensor networks. Different from the acquisition and aggre...
Nowadays, increasing needs for information sharing arise due to extensive collaborations among organizations. Organizations desire to provide data access to their collaborators whi...
Fengjun Li, Bo Luo, Peng Liu, Anna Cinzia Squiccia...
In this paper we introduce a framework for privacypreserving distributed computation that is practical for many real-world applications. The framework is called Peers for Privacy ...
Yitao Duan, NetEase Youdao, John Canny, Justin Z. ...