Privatizing Constraint Optimization

February 1, 2023

Abstract:

My thesis proposes novel schemes for achieving privacy in constraint optimization and new ways of analyzing the privacy properties of constraint optimization algorithms. Thus, it aims to contribute to the fields of constraint processing and multiagent systems.

Authors

Rachel Greenstadt

DOI:

HOW TO CITE:

Rachel Greenstadt Privatizing Constraint Optimization Proceedings of the AAAI Conference on Artificial Intelligence, 21 (2006) 1916.

Rachel Greenstadt Privatizing Constraint Optimization AAAI 2006, 1916.

Rachel Greenstadt (2006). Privatizing Constraint Optimization. Proceedings of the AAAI Conference on Artificial Intelligence, 21, 1916.

Rachel Greenstadt. Privatizing Constraint Optimization. Proceedings of the AAAI Conference on Artificial Intelligence, 21 2006 p.1916.

Rachel Greenstadt. 2006. Privatizing Constraint Optimization. "Proceedings of the AAAI Conference on Artificial Intelligence, 21". 1916.

Rachel Greenstadt. (2006) "Privatizing Constraint Optimization", Proceedings of the AAAI Conference on Artificial Intelligence, 21, p.1916

Rachel Greenstadt, "Privatizing Constraint Optimization", AAAI, p.1916, 2006.

Rachel Greenstadt. "Privatizing Constraint Optimization". Proceedings of the AAAI Conference on Artificial Intelligence, 21, 2006, p.1916.

Rachel Greenstadt. "Privatizing Constraint Optimization". Proceedings of the AAAI Conference on Artificial Intelligence, 21, (2006): 1916.

Rachel Greenstadt. Privatizing Constraint Optimization. AAAI[Internet]. 2006[cited 2023]; 1916.

ISSN:

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