FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set
Fuente:
arXiv
Saved in:
| Main Authors: | Ibrahim, Michael, Rozas, Heraldo, Gebraeel, Nagi, Xie, Weijun |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Wasserstein Distributionally Robust Multiclass Support Vector Machine
by: Ibrahim, Michael, et al.
Published: (2024)
by: Ibrahim, Michael, et al.
Published: (2024)
A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components
by: Ibrahim, Michael, et al.
Published: (2026)
by: Ibrahim, Michael, et al.
Published: (2026)
Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach
by: Rozas, Heraldo, et al.
Published: (2025)
by: Rozas, Heraldo, et al.
Published: (2025)
Towards Uncertainty-Aware Federated Granger Causal Learning
by: Mohanty, Ayush, et al.
Published: (2026)
by: Mohanty, Ayush, et al.
Published: (2026)
Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning
by: Mohamed, Nazal, et al.
Published: (2026)
by: Mohamed, Nazal, et al.
Published: (2026)
Federated Granger Causality Learning for Interdependent Clients with State Space Representation
by: Mohanty, Ayush, et al.
Published: (2025)
by: Mohanty, Ayush, et al.
Published: (2025)
Learning Unknown Interdependencies for Decentralized Root Cause Analysis in Nonlinear Dynamical Systems
by: Mohanty, Ayush, et al.
Published: (2026)
by: Mohanty, Ayush, et al.
Published: (2026)
Granular Ball Twin Support Vector Machine
by: Quadir, A., et al.
Published: (2024)
by: Quadir, A., et al.
Published: (2024)
Distributionally and Adversarially Robust Logistic Regression via Intersecting Wasserstein Balls
by: Selvi, Aras, et al.
Published: (2024)
by: Selvi, Aras, et al.
Published: (2024)
Granular Ball Twin Support Vector Machine with Universum Data
by: Ganaie, M. A., et al.
Published: (2024)
by: Ganaie, M. A., et al.
Published: (2024)
Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by: Dellaporta, Charita, et al.
Published: (2024)
by: Dellaporta, Charita, et al.
Published: (2024)
Granular-Balls based Fuzzy Twin Support Vector Machine for Classification
by: Zhao, Lixi, et al.
Published: (2024)
by: Zhao, Lixi, et al.
Published: (2024)
Enhanced Feature Based Granular Ball Twin Support Vector Machine
by: Quadir, A., et al.
Published: (2024)
by: Quadir, A., et al.
Published: (2024)
Performance Analysis of Support Vector Machine (SVM) on Challenging Datasets for Forest Fire Detection
by: Kar, Ankan, et al.
Published: (2024)
by: Kar, Ankan, et al.
Published: (2024)
Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
by: Jo, Sung Ho, et al.
Published: (2025)
by: Jo, Sung Ho, et al.
Published: (2025)
Prognostics for Autonomous Deep-Space Habitat Health Management under Multiple Unknown Failure Modes
by: Peters, Benjamin, et al.
Published: (2024)
by: Peters, Benjamin, et al.
Published: (2024)
Prognostic Framework for Robotic Manipulators Operating Under Dynamic Task Severities
by: Mohanty, Ayush, et al.
Published: (2024)
by: Mohanty, Ayush, et al.
Published: (2024)
Granular Ball K-Class Twin Support Vector Classifier
by: Ganaie, M. A., et al.
Published: (2024)
by: Ganaie, M. A., et al.
Published: (2024)
Adjusted Wasserstein Distributionally Robust Estimator in Statistical Learning
by: Xie, Yiling, et al.
Published: (2023)
by: Xie, Yiling, et al.
Published: (2023)
Distributionally Robust Optimization via Generative Ambiguity Modeling
by: Wen, Jiaqi, et al.
Published: (2026)
by: Wen, Jiaqi, et al.
Published: (2026)
Distributionally Robust Optimization via Diffusion Ambiguity Modeling
by: Wen, Jiaqi, et al.
Published: (2025)
by: Wen, Jiaqi, et al.
Published: (2025)
GBSVR: Granular Ball Support Vector Regression
by: Rastogi, Reshma, et al.
Published: (2025)
by: Rastogi, Reshma, et al.
Published: (2025)
Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)
by: Ehyaei, Ahmad-Reza, et al.
Published: (2025)
Robust Support Vector Machines for Imbalanced and Noisy Data via Benders Decomposition
by: Mohasel, Seyed Mojtaba, et al.
Published: (2025)
by: Mohasel, Seyed Mojtaba, et al.
Published: (2025)
Robust Universum Twin Support Vector Machine for Imbalanced Data
by: Tanveer, M., et al.
Published: (2024)
by: Tanveer, M., et al.
Published: (2024)
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
by: Kuhn, Daniel, et al.
Published: (2019)
by: Kuhn, Daniel, et al.
Published: (2019)
Decision Making under the Exponential Family: Distributionally Robust Optimisation with Bayesian Ambiguity Sets
by: Dellaporta, Charita, et al.
Published: (2024)
by: Dellaporta, Charita, et al.
Published: (2024)
A Smoothing Algorithm for l1 Support Vector Machines
by: Emirahmetoglu, Ibrahim, et al.
Published: (2023)
by: Emirahmetoglu, Ibrahim, et al.
Published: (2023)
Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
by: Taha, Feras Al, et al.
Published: (2025)
by: Taha, Feras Al, et al.
Published: (2025)
Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls
by: Wang, Tianyu, et al.
Published: (2024)
by: Wang, Tianyu, et al.
Published: (2024)
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set
by: Yue, Man-Chung, et al.
Published: (2024)
by: Yue, Man-Chung, et al.
Published: (2024)
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits
by: Shen, Yi, et al.
Published: (2023)
by: Shen, Yi, et al.
Published: (2023)
On Generalization and Regularization via Wasserstein Distributionally Robust Optimization
by: Wu, Qinyu, et al.
Published: (2022)
by: Wu, Qinyu, et al.
Published: (2022)
Decision Making under Model Misspecification: DRO with Robust Bayesian Ambiguity Sets
by: Dellaporta, Charita, et al.
Published: (2025)
by: Dellaporta, Charita, et al.
Published: (2025)
Wasserstein Distributionally Robust Regret Optimization
by: Fiechtner, Lukas-Benedikt, et al.
Published: (2025)
by: Fiechtner, Lukas-Benedikt, et al.
Published: (2025)
Wasserstein Distributionally Robust Online Learning
by: Chen, Guixian, et al.
Published: (2026)
by: Chen, Guixian, et al.
Published: (2026)
Knowledge-Guided Wasserstein Distributionally Robust Optimization
by: Wang, Zitao, et al.
Published: (2025)
by: Wang, Zitao, et al.
Published: (2025)
Enhancing Robustness and Efficiency of Least Square Twin SVM via Granular Computing
by: Tanveer, M., et al.
Published: (2024)
by: Tanveer, M., et al.
Published: (2024)
Efficient Algorithms for Robust Markov Decision Processes with $s$-Rectangular Ambiguity Sets
by: Ho, Chin Pang, et al.
Published: (2026)
by: Ho, Chin Pang, et al.
Published: (2026)
Local Duality for Sparse Support Vector Machines
by: Zhang, Penghe, et al.
Published: (2026)
by: Zhang, Penghe, et al.
Published: (2026)
Similar Items
-
Wasserstein Distributionally Robust Multiclass Support Vector Machine
by: Ibrahim, Michael, et al.
Published: (2024) -
A Federated Generalized Expectation-Maximization Algorithm for Mixture Models with an Unknown Number of Components
by: Ibrahim, Michael, et al.
Published: (2026) -
Data-driven joint optimization of maintenance and spare parts provisioning: A distributionally robust approach
by: Rozas, Heraldo, et al.
Published: (2025) -
Towards Uncertainty-Aware Federated Granger Causal Learning
by: Mohanty, Ayush, et al.
Published: (2026) -
Federated Causal Representation Learning in State-Space Systems for Decentralized Counterfactual Reasoning
by: Mohamed, Nazal, et al.
Published: (2026)