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math.OC2025
Large-Scale Linear Energy System Optimization: A Systematic Review on Parallelization Strategies via Decomposition
Lars Hadidi, Leonard Göke, Maximilian Hoffmann +7
As renewable energy integration, sector coupling, and spatiotemporal detail increase, energy system optimization models grow in size and complexity, often pushing solvers to their…
math.OC2023
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization
Vassilios Yfantis, Achim Wagner, Martin Ruskowski
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 han…