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Towards Optimal Customized Architecture for Heterogeneous Federated Learning With Contrastive Cloud-Edge Model Decoupling
Xingyan Chen, Tian Du, Mu Wang, Tiancheng Gu, Yu Zhao, Gang Kou, Changqiao Xu and Dapeng Oliver Wu IEEE Transactions on Computers 74(4) 1123 (2025) https://doi.org/10.1109/TC.2024.3514302
HABiC: an algorithm based on the exact computation of the Kantorovich-Rubinstein optimizer for binary classification in transcriptomics
Pattern integration and differentiation: Dual process model of episodic memory
Hallvard Røe Evensmoen, Lars M. Rimol, Henning Stople Rise, Tor Ivar Hansen, Hamed Nili, Anderson M. Winkler and Asta Håberg Imaging Neuroscience 3 (2025) https://doi.org/10.1162/imag_a_00433
A stochastic Gauss–Newton algorithm for regularized semi-discrete optimal transport
Bernard Bercu, Jérémie Bigot, Sébastien Gadat and Emilia Siviero Information and Inference: A Journal of the IMA 12(1) 390 (2023) https://doi.org/10.1093/imaiai/iaac014
Causal inference on distribution functions
Zhenhua Lin, Dehan Kong and Linbo Wang Journal of the Royal Statistical Society Series B: Statistical Methodology 85(2) 378 (2023) https://doi.org/10.1093/jrsssb/qkad008
Anomaly detection in the probability simplex under different geometries
Uriel Legaria, Sergio Mota, Sergio Martinez, Alfredo Cobá, Argenis Chable and Antonio Neme Information Geometry 6(2) 385 (2023) https://doi.org/10.1007/s41884-023-00107-y
The “Unreasonable” Effectiveness of the Wasserstein Distance in Analyzing Key Performance Indicators of a Network of Stores
Andrea Ponti, Ilaria Giordani, Matteo Mistri, Antonio Candelieri and Francesco Archetti Big Data and Cognitive Computing 6(4) 138 (2022) https://doi.org/10.3390/bdcc6040138
Learning and Intelligent Optimization
Andrea Ponti, Antonio Irpino, Antonio Candelieri, et al. Lecture Notes in Computer Science, Learning and Intelligent Optimization 13621 263 (2022) https://doi.org/10.1007/978-3-031-24866-5_20