Combines evolutionary algorithms and MPC to perform privacy-preserving distributed optimization under time limits, tested on assignment and traveling salesperson problems with optional result obfuscation.
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Privacy-Preserving Distributed Optimization Under Time Constraints Using Secure Multi-Party Computation and Evolutionary Algorithms
Combines evolutionary algorithms and MPC to perform privacy-preserving distributed optimization under time limits, tested on assignment and traveling salesperson problems with optional result obfuscation.