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Privacy Preserving Decentralized Method for Computing a Pareto-Optimal Solution

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Book cover Distributed Computing – IWDC 2005 (IWDC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3741))

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Abstract

Distributed methodologies to find pareto-optimal frontier with concern to privacy, of objectives and constraints, of parties is of interest in scenarios like negotiations. Adaptation of lagrangian method to solve distributed weighting method for both strictly concave and not strictly concave (e.g. linear) value functions is proposed for a maximization problem.

The work is partly supported by the AICTE project ISISAMB.

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Sehgal, S.K., Pal, A.K. (2005). Privacy Preserving Decentralized Method for Computing a Pareto-Optimal Solution. In: Pal, A., Kshemkalyani, A.D., Kumar, R., Gupta, A. (eds) Distributed Computing – IWDC 2005. IWDC 2005. Lecture Notes in Computer Science, vol 3741. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11603771_66

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  • DOI: https://doi.org/10.1007/11603771_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30959-8

  • Online ISBN: 978-3-540-32428-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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