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Primal convergence from dual subgradient methods for convex optimization.

, , and . Math. Program., 150 (2): 365-390 (2015)

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A Performance Evaluation of Federated Learning Algorithms., , , , and . DIDL@Middleware, page 1-8. ACM, (2018)Primal convergence from dual subgradient methods for convex optimization., , and . Math. Program., 150 (2): 365-390 (2015)Architecture-Aware Bayesian Optimization for Neural Network Tuning., , , and . ICANN (2), volume 11728 of Lecture Notes in Computer Science, page 220-231. Springer, (2019)Preventive maintenance scheduling of multi-component systems with interval costs., , , , and . Comput. Ind. Eng., (2014)S-RASTER: contraction clustering for evolving data streams., , , , and . J. Big Data, 7 (1): 62 (2020)Ergodic, primal convergence in dual subgradient schemes for convex programming, II: the case of inconsistent primal problems., , , , and . Math. Program., 163 (1-2): 57-84 (2017)S-RASTER: Contraction Clustering for Evolving Data Streams., , , , and . CoRR, (2019)Federated Learning of Deep Neural Decision Forests., , , and . LOD, volume 11943 of Lecture Notes in Computer Science, page 700-710. Springer, (2019)OODIDA: On-board/Off-board Distributed Data Analytics for Connected Vehicles., , and . CoRR, (2019)Natural language processing methods for knowledge management - Applying document clustering for fast search and grouping of engineering documents., , , , and . Concurr. Eng. Res. Appl., (2021)