One of the motivations behind distributed problem solving is offered by applications where participants want to keep private some of the input data but want to collaborate for finding agreements leading to a common solution. In this talk we address alternative ways of formulating a given problem and their impact on the achivable privacy guarantees. We also detail a few recent techniques for offering guarantees of higher degrees of privacy.
The speaker is Assistant Professor at the Florida Institute of Technology. The speaker got his PhD in 2002 from the Swiss Federal Institute of Technology at Lausanne with a dissertation on "Asynchronously Solving distributed problems with privacy requirements", and the BS in 1997 from the Technical University of Cluj-Napoca. He is teaching courses of "Artificial Intelligence", "Speech Recognition" and "Cryptography and Multi-party Computations".
Sprecher: Dr. Marius C. Silaghi Wann: Dienstag, 10. Mai 2004, 12:30 Uhr (s.t.) Wo: E 1.42, Universität Klagenfurt