Privacy Preservation in Distributed Subgradient Optimization Algorithms
Mathematics - Optimization and Control | Computer Science - Distributed, Parallel, and Cluster Computing
Privacy preservation is becoming an increasingly important issue in data mining and machine learning. In this paper, we consider the privacy preserving features of distributed subgradient optimization algorithms. We first show that a well-known distributed subgradient s...