Semi-Supervised Federated Multi-Label Feature Selection with Fuzzy Information Measures
Fuente:
arXiv
Saved in:
| Main Authors: | Mahanipour, Afsaneh, Khamfroush, Hana |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FMLFS: A Federated Multi-Label Feature Selection Based on Information Theory in IoT Environment
by: Mahanipour, Afsaneh, et al.
Published: (2024)
by: Mahanipour, Afsaneh, et al.
Published: (2024)
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs
by: Mahanipour, Afsaneh, et al.
Published: (2025)
by: Mahanipour, Afsaneh, et al.
Published: (2025)
Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
by: Mahanipour, Afsaneh, et al.
Published: (2024)
by: Mahanipour, Afsaneh, et al.
Published: (2024)
DILEMMA: Joint LLM Quantization and Distributed LLM Inference Over Edge Computing Systems
by: Hosseinzadeh, Minoo, et al.
Published: (2025)
by: Hosseinzadeh, Minoo, et al.
Published: (2025)
Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning
by: Zhong, Yan, et al.
Published: (2025)
by: Zhong, Yan, et al.
Published: (2025)
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
by: Yang, Li, et al.
Published: (2024)
by: Yang, Li, et al.
Published: (2024)
Causal Multi-Label Feature Selection in Federated Setting
by: Song, Yukun, et al.
Published: (2024)
by: Song, Yukun, et al.
Published: (2024)
(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
by: Lee, Seungjoo, et al.
Published: (2024)
by: Lee, Seungjoo, et al.
Published: (2024)
Semi-Supervised Hierarchical Multi-Label Classifier Based on Local Information
by: Serrano-Pérez, Jonathan, et al.
Published: (2024)
by: Serrano-Pérez, Jonathan, et al.
Published: (2024)
Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
by: Sun, Xueqing, et al.
Published: (2025)
by: Sun, Xueqing, et al.
Published: (2025)
Little is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
by: Abourayya, Amr, et al.
Published: (2023)
by: Abourayya, Amr, et al.
Published: (2023)
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients
by: Qiu, Xinchi, et al.
Published: (2024)
by: Qiu, Xinchi, et al.
Published: (2024)
Multi-View Semi-Supervised Label Distribution Learning with Local Structure Complementarity
by: Xiao, Yanshan, et al.
Published: (2025)
by: Xiao, Yanshan, et al.
Published: (2025)
A Confidence-Variance Theory for Pseudo-Label Selection in Semi-Supervised Learning
by: Liu, Jinshi, et al.
Published: (2026)
by: Liu, Jinshi, et al.
Published: (2026)
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
by: Xiao, Jia-Hao, et al.
Published: (2024)
by: Xiao, Jia-Hao, et al.
Published: (2024)
Noise-Resistant Label Reconstruction Feature Selection for Partial Multi-Label Learning
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
Graph Random Walk with Feature-Label Space Alignment: A Multi-Label Feature Selection Method
by: Gao, Wanfu, et al.
Published: (2025)
by: Gao, Wanfu, et al.
Published: (2025)
CATCHFed: Efficient Unlabeled Data Utilization for Semi-Supervised Federated Learning in Limited Labels Environments
by: Park, Byoungjun, et al.
Published: (2025)
by: Park, Byoungjun, et al.
Published: (2025)
DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning
by: Han, Bo, et al.
Published: (2025)
by: Han, Bo, et al.
Published: (2025)
Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach
by: Hamood, Moqbel, et al.
Published: (2024)
by: Hamood, Moqbel, et al.
Published: (2024)
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
by: Dai, Yajiao, et al.
Published: (2025)
by: Dai, Yajiao, et al.
Published: (2025)
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
by: Li, Zeju, et al.
Published: (2024)
by: Li, Zeju, et al.
Published: (2024)
Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
by: Fan, Heng-Bo, et al.
Published: (2024)
by: Fan, Heng-Bo, et al.
Published: (2024)
Redundancy-optimized Multi-head Attention Networks for Multi-View Multi-Label Feature Selection
by: Liu, Yuzhou, et al.
Published: (2025)
by: Liu, Yuzhou, et al.
Published: (2025)
Double Robust Semi-Supervised Inference for the Mean: Selection Bias under MAR Labeling with Decaying Overlap
by: Zhang, Yuqian, et al.
Published: (2021)
by: Zhang, Yuqian, et al.
Published: (2021)
K-GBS3FCM -- KNN Graph-Based Safe Semi-Supervised Fuzzy C-Means
by: Santos, Gabriel, et al.
Published: (2024)
by: Santos, Gabriel, et al.
Published: (2024)
Low-Dimensional Representation-Driven TSK Fuzzy System for Feature Selection
by: Liu, Qiong, et al.
Published: (2025)
by: Liu, Qiong, et al.
Published: (2025)
Employing Iterative Feature Selection in Fuzzy Rule-Based Binary Classification
by: Li, Haoning, et al.
Published: (2024)
by: Li, Haoning, et al.
Published: (2024)
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization
by: Mahmoudi, Afsaneh, et al.
Published: (2024)
by: Mahmoudi, Afsaneh, et al.
Published: (2024)
GPMFS: Global Foundation and Personalized Optimization for Multi-Label Feature Selection
by: Cao, Yifan, et al.
Published: (2025)
by: Cao, Yifan, et al.
Published: (2025)
From Human Labels to Literature: Semi-Supervised Learning of NMR Chemical Shifts at Scale
by: Jin, Yongqi, et al.
Published: (2026)
by: Jin, Yongqi, et al.
Published: (2026)
Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling
by: Dantas, Cassio F., et al.
Published: (2024)
by: Dantas, Cassio F., et al.
Published: (2024)
Semi-Supervised Health Index Monitoring with Feature Generation and Fusion
by: Frusque, Gaëtan, et al.
Published: (2023)
by: Frusque, Gaëtan, et al.
Published: (2023)
Federated Semi-Supervised Graph Neural Networks with Prototype-Guided Pseudo-Labeling for Privacy-Preserving Gestational Diabetes Mellitus Prediction
by: Daniela, G. Victor, et al.
Published: (2026)
by: Daniela, G. Victor, et al.
Published: (2026)
Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
SEHFS: Structural Entropy-Guided High-Order Correlation Learning for Multi-View Multi-Label Feature Selection
by: Peng, Cheng, et al.
Published: (2026)
by: Peng, Cheng, et al.
Published: (2026)
Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing
by: Squires, Matthew, et al.
Published: (2024)
by: Squires, Matthew, et al.
Published: (2024)
Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)
by: Liang, Jiachen, et al.
Published: (2024)
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning
by: Peng, Yubo, et al.
Published: (2024)
by: Peng, Yubo, et al.
Published: (2024)
Semi-supervised Contrastive Learning Using Partial Label Information
by: Hansen, Colin B., et al.
Published: (2020)
by: Hansen, Colin B., et al.
Published: (2020)
Similar Items
-
FMLFS: A Federated Multi-Label Feature Selection Based on Information Theory in IoT Environment
by: Mahanipour, Afsaneh, et al.
Published: (2024) -
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs
by: Mahanipour, Afsaneh, et al.
Published: (2025) -
Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
by: Mahanipour, Afsaneh, et al.
Published: (2024) -
DILEMMA: Joint LLM Quantization and Distributed LLM Inference Over Edge Computing Systems
by: Hosseinzadeh, Minoo, et al.
Published: (2025) -
Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning
by: Zhong, Yan, et al.
Published: (2025)