DISCO-TAB: A Hierarchical Reinforcement Learning Framework for Privacy-Preserving Synthesis of Complex Clinical Data
Fuente:
arXiv
Saved in:
| Main Authors: | Ilaty, Arshia, Shirazi, Hossein, Rahmani, Amir, Homayouni, Hajar |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
SynLLM: A Comparative Analysis of Large Language Models for Medical Tabular Synthetic Data Generation via Prompt Engineering
by: Ilaty, Arshia, et al.
Published: (2025)
by: Ilaty, Arshia, et al.
Published: (2025)
Label-Free Reinforcement Learning via Cross-Model Entropy
by: Gorbett, Matt, et al.
Published: (2026)
by: Gorbett, Matt, et al.
Published: (2026)
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
by: Zhou, Yuhang, et al.
Published: (2025)
by: Zhou, Yuhang, et al.
Published: (2025)
Privacy Preserving Reinforcement Learning with One-Sided Feedback
by: Cong, Lin William, et al.
Published: (2026)
by: Cong, Lin William, et al.
Published: (2026)
DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
by: Zhang, Jason Shuo, et al.
Published: (2024)
by: Zhang, Jason Shuo, et al.
Published: (2024)
Tiled Bit Networks: Sub-Bit Neural Network Compression Through Reuse of Learnable Binary Vectors
by: Gorbett, Matt, et al.
Published: (2024)
by: Gorbett, Matt, et al.
Published: (2024)
Machine Learning for Everyone: Simplifying Healthcare Analytics with BigQuery ML
by: Salari, Mohammad Amir, et al.
Published: (2025)
by: Salari, Mohammad Amir, et al.
Published: (2025)
A Comprehensive Survey of Reinforcement Learning: From Algorithms to Practical Challenges
by: Ghasemi, Majid, et al.
Published: (2024)
by: Ghasemi, Majid, et al.
Published: (2024)
Hybrid Federated and Split Learning for Privacy Preserving Clinical Prediction and Treatment Optimization
by: Akter, Farzana, et al.
Published: (2026)
by: Akter, Farzana, et al.
Published: (2026)
FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
by: Nagesh, Nitish, et al.
Published: (2025)
by: Nagesh, Nitish, et al.
Published: (2025)
Boosting Hierarchical Reinforcement Learning with Meta-Learning for Complex Task Adaptation
by: Khajooeinejad, Arash, et al.
Published: (2024)
by: Khajooeinejad, Arash, et al.
Published: (2024)
Beyond Internal Data: Constructing Complete Datasets for Fairness Testing
by: Ramineni, Varsha, et al.
Published: (2025)
by: Ramineni, Varsha, et al.
Published: (2025)
Towards Privacy-Preserving Relational Data Synthesis via Probabilistic Relational Models
by: Luttermann, Malte, et al.
Published: (2024)
by: Luttermann, Malte, et al.
Published: (2024)
DISCO: Diversifying Sample Condensation for Efficient Model Evaluation
by: Rubinstein, Alexander, et al.
Published: (2025)
by: Rubinstein, Alexander, et al.
Published: (2025)
HiVAE: Hierarchical Latent Variables for Scalable Theory of Mind
by: Doering, Nigel, et al.
Published: (2026)
by: Doering, Nigel, et al.
Published: (2026)
Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method
by: Huang, Yong, et al.
Published: (2024)
by: Huang, Yong, et al.
Published: (2024)
Operationalizing Data Minimization for Privacy-Preserving LLM Prompting
by: Zhou, Jijie, et al.
Published: (2025)
by: Zhou, Jijie, et al.
Published: (2025)
Small Language Models for Privacy-Preserving Clinical Information Extraction in Low-Resource Languages
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2026)
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2026)
Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data
by: Ranaweera, Kanishka, et al.
Published: (2025)
by: Ranaweera, Kanishka, et al.
Published: (2025)
Dynamic Model Predictive Shielding for Provably Safe Reinforcement Learning
by: Banerjee, Arko, et al.
Published: (2024)
by: Banerjee, Arko, et al.
Published: (2024)
Entropy-Preserving Reinforcement Learning
by: Petrenko, Aleksei, et al.
Published: (2026)
by: Petrenko, Aleksei, et al.
Published: (2026)
Privacy-Preserving Data Sharing in Agriculture: Enforcing Policy Rules for Secure and Confidential Data Synthesis
by: Kotal, Anantaa, et al.
Published: (2023)
by: Kotal, Anantaa, et al.
Published: (2023)
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction
by: Morel, Rudy, et al.
Published: (2025)
by: Morel, Rudy, et al.
Published: (2025)
Improving Epidemic Analyses with Privacy-Preserving Integration of Sensitive Data
by: Guan, Zihan, et al.
Published: (2025)
by: Guan, Zihan, et al.
Published: (2025)
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
by: Xu, Yukai, et al.
Published: (2024)
by: Xu, Yukai, et al.
Published: (2024)
Hierarchical Deep Reinforcement Learning Framework for Multi-Year Asset Management Under Budget Constraints
by: Fard, Amir, et al.
Published: (2025)
by: Fard, Amir, et al.
Published: (2025)
Privacy-Preserving Federated Learning Framework for Distributed Chemical Process Optimization
by: Pipattaratonchai, Teetat, et al.
Published: (2026)
by: Pipattaratonchai, Teetat, et al.
Published: (2026)
DISCO: A Browser-Based Privacy-Preserving Framework for Distributed Collaborative Learning
by: Vignoud, Julien T. T., et al.
Published: (2025)
by: Vignoud, Julien T. T., et al.
Published: (2025)
Federated Proximal Optimization for Privacy-Preserving Heart Disease Prediction: A Controlled Simulation Study on Non-IID Clinical Data
by: Asad, Farzam, et al.
Published: (2026)
by: Asad, Farzam, et al.
Published: (2026)
Generalization and Membership Inference Attack a Practical Perspective
by: Rahmani, Fateme, et al.
Published: (2026)
by: Rahmani, Fateme, et al.
Published: (2026)
The Terminal Representation in Reinforcement Learning
by: Esterhuysen, Amir, et al.
Published: (2026)
by: Esterhuysen, Amir, et al.
Published: (2026)
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
by: Hiniduma, Kaveen, et al.
Published: (2025)
by: Hiniduma, Kaveen, et al.
Published: (2025)
Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning
by: Khalil, Mohammad, et al.
Published: (2025)
by: Khalil, Mohammad, et al.
Published: (2025)
DPF-CM: A Data Processing Framework with Privacy-Preserving Vector Databases for Chinese Medical LLMs Training and Deployment
by: Huang, Wei, et al.
Published: (2025)
by: Huang, Wei, et al.
Published: (2025)
Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence
by: Rahman, Ratun
Published: (2025)
by: Rahman, Ratun
Published: (2025)
Rethinking LoRA for Privacy-Preserving Federated Learning in Large Models
by: Liu, Jin, et al.
Published: (2026)
by: Liu, Jin, et al.
Published: (2026)
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation
by: Kavak, Emre, et al.
Published: (2025)
by: Kavak, Emre, et al.
Published: (2025)
Permutation-Invariant Representation Learning for Robust and Privacy-Preserving Feature Selection
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
Privacy-Preserved Automated Scoring using Federated Learning for Educational Research
by: Latif, Ehsan, et al.
Published: (2025)
by: Latif, Ehsan, et al.
Published: (2025)
A Privacy-Preserving Cloud Architecture for Distributed Machine Learning at Scale
by: Punniyamoorthy, Vinoth, et al.
Published: (2025)
by: Punniyamoorthy, Vinoth, et al.
Published: (2025)
Similar Items
-
SynLLM: A Comparative Analysis of Large Language Models for Medical Tabular Synthetic Data Generation via Prompt Engineering
by: Ilaty, Arshia, et al.
Published: (2025) -
Label-Free Reinforcement Learning via Cross-Model Entropy
by: Gorbett, Matt, et al.
Published: (2026) -
DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data
by: Zhou, Yuhang, et al.
Published: (2025) -
Privacy Preserving Reinforcement Learning with One-Sided Feedback
by: Cong, Lin William, et al.
Published: (2026) -
DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
by: Zhang, Jason Shuo, et al.
Published: (2024)