[HTML][HTML] Hierarchical distributed optimization of constraint-coupled convex and mixed-integer programs using approximations of the dual function
In this paper, two new algorithms for dual decomposition-based distributed optimization are
presented. Both algorithms rely on the quadratic approximation of the dual function of the …
presented. Both algorithms rely on the quadratic approximation of the dual function of the …
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization
The use of distributed optimization in machine learning can be motivated either by the
resulting preservation of privacy or the increase in computational efficiency. On the one …
resulting preservation of privacy or the increase in computational efficiency. On the one …