Federated Learning with Discriminative Naive Bayes Classifier
Fuente:
arXiv
Guardado en:
| Autores principales: | Torrijos, Pablo, Alfaro, Juan C., Gámez, José A., Puerta, José M. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
FedGES: A Federated Learning Approach for BN Structure Learning
por: Torrijos, Pablo, et al.
Publicado: (2025)
por: Torrijos, Pablo, et al.
Publicado: (2025)
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis
por: Torrijos, Pablo, et al.
Publicado: (2025)
por: Torrijos, Pablo, et al.
Publicado: (2025)
Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search
por: Laborda, Jorge D., et al.
Publicado: (2025)
por: Laborda, Jorge D., et al.
Publicado: (2025)
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks
por: Laborda, Jorge D., et al.
Publicado: (2024)
por: Laborda, Jorge D., et al.
Publicado: (2024)
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks
por: Laborda Sicilia, Jorge Daniel, et al.
Publicado: (2023)
por: Laborda Sicilia, Jorge Daniel, et al.
Publicado: (2023)
Structure of Classifier Boundaries: Case Study for a Naive Bayes Classifier
por: Karr, Alan F., et al.
Publicado: (2022)
por: Karr, Alan F., et al.
Publicado: (2022)
Naive Bayes Classifiers and One-hot Encoding of Categorical Variables
por: Williams, Christopher K. I.
Publicado: (2024)
por: Williams, Christopher K. I.
Publicado: (2024)
Naive Bayes Classifiers over Missing Data: Decision and Poisoning
por: Bian, Song, et al.
Publicado: (2023)
por: Bian, Song, et al.
Publicado: (2023)
ODTE -- An ensemble of multi-class SVM-based oblique decision trees
por: Montañana, Ricardo, et al.
Publicado: (2024)
por: Montañana, Ricardo, et al.
Publicado: (2024)
Discriminative classification with generative features: bridging Naive Bayes and logistic regression
por: Terner, Zachary, et al.
Publicado: (2025)
por: Terner, Zachary, et al.
Publicado: (2025)
Sampling Audit Evidence Using a Naive Bayes Classifier
por: Sheu, Guang-Yih, et al.
Publicado: (2024)
por: Sheu, Guang-Yih, et al.
Publicado: (2024)
Optimal Projections for Classification with Naive Bayes
por: Hofmeyr, David P., et al.
Publicado: (2024)
por: Hofmeyr, David P., et al.
Publicado: (2024)
Variable selection for Naïve Bayes classification
por: Blanquero, Rafael, et al.
Publicado: (2024)
por: Blanquero, Rafael, et al.
Publicado: (2024)
Naive Feature Selection: a Nearly Tight Convex Relaxation for Sparse Naive Bayes
por: Askari, Armin, et al.
Publicado: (2019)
por: Askari, Armin, et al.
Publicado: (2019)
Generalized Naive Bayes
por: Kovács, Edith Alice, et al.
Publicado: (2024)
por: Kovács, Edith Alice, et al.
Publicado: (2024)
An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
por: Ige, Tosin, et al.
Publicado: (2024)
por: Ige, Tosin, et al.
Publicado: (2024)
Naïve Bayes and Random Forest for Crop Yield Prediction
por: Maazallahi, Abbas, et al.
Publicado: (2024)
por: Maazallahi, Abbas, et al.
Publicado: (2024)
A Blended Likelihood Approach for Achieving Fairness Using Naive Bayes
por: Junior, John Arthur, et al.
Publicado: (2026)
por: Junior, John Arthur, et al.
Publicado: (2026)
Fractional Naive Bayes (FNB): non-convex optimization for a parsimonious weighted selective naive Bayes classifier
por: Hue, Carine, et al.
Publicado: (2024)
por: Hue, Carine, et al.
Publicado: (2024)
Decentralized Federated Learning of Probabilistic Generative Classifiers
por: Pérez, Aritz, et al.
Publicado: (2025)
por: Pérez, Aritz, et al.
Publicado: (2025)
MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks
por: Cornacchia, Giandomenico, et al.
Publicado: (2024)
por: Cornacchia, Giandomenico, et al.
Publicado: (2024)
BAPE: Learning an Explicit Bayes Classifier for Long-tailed Visual Recognition
por: Du, Chaoqun, et al.
Publicado: (2025)
por: Du, Chaoqun, et al.
Publicado: (2025)
A Meta-analytical Comparison of Naive Bayes and Random Forest for Software Defect Prediction
por: Awais, Ch Muhammad, et al.
Publicado: (2023)
por: Awais, Ch Muhammad, et al.
Publicado: (2023)
Bayes-Optimal Classifiers under Group Fairness
por: Zeng, Xianli, et al.
Publicado: (2022)
por: Zeng, Xianli, et al.
Publicado: (2022)
One-Shot Federated Learning with Classifier-Free Diffusion Models
por: Zaland, Obaidullah, et al.
Publicado: (2025)
por: Zaland, Obaidullah, et al.
Publicado: (2025)
Mutatis Mutandis: Revisiting the Comparator in Discrimination Testing
por: Alvarez, Jose M., et al.
Publicado: (2024)
por: Alvarez, Jose M., et al.
Publicado: (2024)
Counterfactual Situation Testing: From Single to Multidimensional Discrimination
por: Alvarez, Jose M., et al.
Publicado: (2025)
por: Alvarez, Jose M., et al.
Publicado: (2025)
Don't Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention
por: Pi, Shu-Ting, et al.
Publicado: (2026)
por: Pi, Shu-Ting, et al.
Publicado: (2026)
Edited Naive Bayes
por: J.M. Martínez Otzeta
Publicado: (2006)
por: J.M. Martínez Otzeta
Publicado: (2006)
Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
por: Chen, Junbao, et al.
Publicado: (2024)
por: Chen, Junbao, et al.
Publicado: (2024)
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
por: Sun, Wenju, et al.
Publicado: (2022)
por: Sun, Wenju, et al.
Publicado: (2022)
A Notion of Uniqueness for the Adversarial Bayes Classifier
por: Frank, Natalie S.
Publicado: (2024)
por: Frank, Natalie S.
Publicado: (2024)
Adversarial Consistency and the Uniqueness of the Adversarial Bayes Classifier
por: Frank, Natalie S.
Publicado: (2024)
por: Frank, Natalie S.
Publicado: (2024)
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
por: Wu, Xinghao, et al.
Publicado: (2024)
por: Wu, Xinghao, et al.
Publicado: (2024)
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
por: Ozkara, Kaan, et al.
Publicado: (2024)
por: Ozkara, Kaan, et al.
Publicado: (2024)
Robustness Quantification for Discriminative Models: a New Robustness Metric and its Application to Dynamic Classifier Selection
por: Lassance, Rodrigo F. L., et al.
Publicado: (2026)
por: Lassance, Rodrigo F. L., et al.
Publicado: (2026)
Price-Discrimination Game for Distributed Resource Management in Federated Learning
por: Zhang, Han, et al.
Publicado: (2023)
por: Zhang, Han, et al.
Publicado: (2023)
Federated Learning with Ad-hoc Adapter Insertions: The Case of Soft-Embeddings for Training Classifier-as-Retriever
por: Fofonjka, Marijan, et al.
Publicado: (2025)
por: Fofonjka, Marijan, et al.
Publicado: (2025)
Counterfactual Situation Testing: Uncovering Discrimination under Fairness given the Difference
por: Alvarez, Jose M., et al.
Publicado: (2023)
por: Alvarez, Jose M., et al.
Publicado: (2023)
XNB: Explainable Class-Specific NaIve-Bayes Classifier
por: Aguilar-Ruiz, Jesus S., et al.
Publicado: (2024)
por: Aguilar-Ruiz, Jesus S., et al.
Publicado: (2024)
Ejemplares similares
-
FedGES: A Federated Learning Approach for BN Structure Learning
por: Torrijos, Pablo, et al.
Publicado: (2025) -
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis
por: Torrijos, Pablo, et al.
Publicado: (2025) -
Enhancing Bayesian Network Structural Learning with Monte Carlo Tree Search
por: Laborda, Jorge D., et al.
Publicado: (2025) -
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks
por: Laborda, Jorge D., et al.
Publicado: (2024) -
A Ring-Based Distributed Algorithm for Learning High-Dimensional Bayesian Networks
por: Laborda Sicilia, Jorge Daniel, et al.
Publicado: (2023)