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» Experimental analysis of privacy loss in DCOP algorithms
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ATAL
2006
Springer
13 years 8 months ago
Experimental analysis of privacy loss in DCOP algorithms
Rachel Greenstadt, Jonathan P. Pearce, Emma Bowrin...
AAAI
2006
13 years 6 months ago
Analysis of Privacy Loss in Distributed Constraint Optimization
Distributed Constraint Optimization (DCOP) is rapidly emerging as a prominent technique for multiagent coordination. However, despite agent privacy being a key motivation for appl...
Rachel Greenstadt, Jonathan P. Pearce, Milind Tamb...
ATAL
2007
Springer
13 years 11 months ago
SSDPOP: improving the privacy of DCOP with secret sharing
Multi-agent systems designed to work collaboratively with groups of people typically require private information that people will entrust to them only if they have assurance that ...
Rachel Greenstadt, Barbara J. Grosz, Michael D. Sm...
ATAL
2010
Springer
13 years 5 months ago
Local search for distributed asymmetric optimization
Distributed Constraints Optimization (DCOP) is a powerful framework for representing and solving distributed combinatorial problems, where the variables of the problem are owned b...
Alon Grubshtein, Roie Zivan, Tal Grinshpoun, Amnon...
ATAL
2006
Springer
13 years 8 months ago
Multiply-constrained distributed constraint optimization
Distributed constraint optimization (DCOP) has emerged as a useful technique for multiagent coordination. While previous DCOP work focuses on optimizing a single team objective, i...
Emma Bowring, Milind Tambe, Makoto Yokoo