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Filtering for Private Collaborative Benchmarking
[chapter]
2006
Lecture Notes in Computer Science
Collaborative Benchmarking is an important issue for modern enterprises, but the business performance quantities used as input are often highly confidential. Secure Multi-Party Computation can offer protocols that can compute benchmarks without leaking the input variables. Benchmarking is a process of comparing to the "best", so often it is necessary to only include the k-best enterprises for computing a benchmark to not distort the result with some outlying performances. We present a protocol
doi:10.1007/11766155_29
fatcat:jhso5eqnq5abrmrs5dwxdny6sq