Dataset Groups Activity Stream Optimization of Inf-Convolution Regularized Nonconvex Composite Problems The dataset used in this paper is a stochastic distributed training dataset for deep neural networks. BibTex: @dataset{Emanuel_Laude_and_Tao_Wu_and_Daniel_Cremers_2024, abstract = {The dataset used in this paper is a stochastic distributed training dataset for deep neural networks.}, author = {Emanuel Laude and Tao Wu and Daniel Cremers}, doi = {10.57702/992fjwoe}, institution = {No Organization}, keyword = {'distributed training', 'inf-convolution', 'nonconvex optimization'}, month = {dec}, publisher = {TIB}, title = {Optimization of Inf-Convolution Regularized Nonconvex Composite Problems}, url = {https://service.tib.eu/ldmservice/dataset/optimization-of-inf-convolution-regularized-nonconvex-composite-problems}, year = {2024} }
