TrustFed: Enabling Trustworthy Medical AI under Data Privacy Constraints
Fuente:
arXiv
Saved in:
| Main Authors: | Kumar, Vagish, Alam, Syed Bahauddin, Chakraborty, Souvik |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CortiNet: A Physics-Perception Hybrid Cortical-Inspired Dual-Stream Network for Gallbladder Disease Diagnosis from Ultrasound
by: Kumar, Vagish, et al.
Published: (2026)
by: Kumar, Vagish, et al.
Published: (2026)
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life
by: Kobayashi, Kazuma, et al.
Published: (2023)
by: Kobayashi, Kazuma, et al.
Published: (2023)
Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano
by: Yoo, Jason, et al.
Published: (2026)
by: Yoo, Jason, et al.
Published: (2026)
Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions
by: Kobayashi, Kazuma, et al.
Published: (2023)
by: Kobayashi, Kazuma, et al.
Published: (2023)
Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
SCNO: Spiking Compositional Neural Operator -- Towards a Neuromorphic Foundation Model for Nuclear PDE Solving
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
The Trust Calibration Maturity Model for Characterizing and Communicating Trustworthiness of AI Systems
by: Steinmetz, Scott T, et al.
Published: (2025)
by: Steinmetz, Scott T, et al.
Published: (2025)
Sensing Without Colocation: Operator-Based Virtual Instrumentation for Domains Beyond Physical Reach
by: Yoo, Jay Phil, et al.
Published: (2025)
by: Yoo, Jay Phil, et al.
Published: (2025)
Neuroscience Inspired Graph Operators Towards Edge-Deployable Virtual Sensing for Irregular Geometries
by: Howes, William, et al.
Published: (2026)
by: Howes, William, et al.
Published: (2026)
FedMood: Federated Learning on Mobile Health Data for Mood Detection
by: Xu, Xiaohang, et al.
Published: (2021)
by: Xu, Xiaohang, et al.
Published: (2021)
Navigating AI to Unpack Youth Privacy Concerns: An In-Depth Exploration and Systematic Review
by: Shrestha, Ajay Kumar, et al.
Published: (2024)
by: Shrestha, Ajay Kumar, et al.
Published: (2024)
Adversarial Vulnerabilities in Neural Operator Digital Twins: Gradient-Free Attacks on Nuclear Thermal-Hydraulic Surrogates
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Distribution-Free Uncertainty-Aware Virtual Sensing via Conformalized Neural Operators
by: Kobayashi, Kazuma, et al.
Published: (2025)
by: Kobayashi, Kazuma, et al.
Published: (2025)
Improved generalization with deep neural operators for engineering systems: Path towards digital twin
by: Kobayashi, Kazuma, et al.
Published: (2023)
by: Kobayashi, Kazuma, et al.
Published: (2023)
Trustworthy Chronic Disease Risk Prediction For Self-Directed Preventive Care via Medical Literature Validation
by: Le, Minh, et al.
Published: (2025)
by: Le, Minh, et al.
Published: (2025)
Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Q-SINDy: Quantum-Kernel Sparse Identification of Nonlinear Dynamics with Provable Coefficient Debiasing
by: Roy, Samrendra, et al.
Published: (2026)
by: Roy, Samrendra, et al.
Published: (2026)
Virtual Sensing to Enable Real-Time Monitoring of Inaccessible Locations \& Unmeasurable Parameters
by: Kobayashi, Kazuma, et al.
Published: (2024)
by: Kobayashi, Kazuma, et al.
Published: (2024)
Real-Time Sensing of Inaccessible Physical Fields via an Edge-Deployable Hardware-Portable Graph Neural Operator
by: Howes, William, et al.
Published: (2026)
by: Howes, William, et al.
Published: (2026)
A Framework for Responsible AI Systems: Building Societal Trust through Domain Definition, Trustworthy AI Design, Auditability, Accountability, and Governance
by: Herrera-Poyatos, Andrés, et al.
Published: (2025)
by: Herrera-Poyatos, Andrés, et al.
Published: (2025)
Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
by: Liu, Mingxuan, et al.
Published: (2024)
by: Liu, Mingxuan, et al.
Published: (2024)
Agentic AI framework for End-to-End Medical Data Inference
by: Shimgekar, Soorya Ram, et al.
Published: (2025)
by: Shimgekar, Soorya Ram, et al.
Published: (2025)
Ethical AI for Young Digital Citizens: A Call to Action on Privacy Governance
by: Shouli, Austin, et al.
Published: (2025)
by: Shouli, Austin, et al.
Published: (2025)
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
by: Xia, Peng, et al.
Published: (2024)
by: Xia, Peng, et al.
Published: (2024)
Evaluating Privacy-Utility Tradeoffs in Synthetic Smart Grid Data
by: Catarino, Andre, et al.
Published: (2025)
by: Catarino, Andre, et al.
Published: (2025)
Towards AI-$45^{\circ}$ Law: A Roadmap to Trustworthy AGI
by: Yang, Chao, et al.
Published: (2024)
by: Yang, Chao, et al.
Published: (2024)
Explainability through uncertainty: Trustworthy decision-making with neural networks
by: Thuy, Arthur, et al.
Published: (2024)
by: Thuy, Arthur, et al.
Published: (2024)
Agentic Physical AI toward a Domain-Specific Foundation Model for Energy Systems: A Case Study on Nuclear Reactor Control
by: Lee, Yoon Pyo, et al.
Published: (2025)
by: Lee, Yoon Pyo, et al.
Published: (2025)
One Size Fits None: Rethinking Fairness in Medical AI
by: Roller, Roland, et al.
Published: (2025)
by: Roller, Roland, et al.
Published: (2025)
Privacy-Preserved Taxi Demand Prediction System Utilizing Distributed Data
by: Ozeki, Ren, et al.
Published: (2024)
by: Ozeki, Ren, et al.
Published: (2024)
Training Fair Models in Federated Learning without Data Privacy Infringement
by: Che, Xin, et al.
Published: (2021)
by: Che, Xin, et al.
Published: (2021)
FairHealth: An Open-Source Python Library for Trustworthy Healthcare AI in Low-Resource Settings
by: Yesmin, Farjana
Published: (2026)
by: Yesmin, Farjana
Published: (2026)
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA
by: Li, Minghan, et al.
Published: (2025)
by: Li, Minghan, et al.
Published: (2025)
FedCD: A Fairness-aware Federated Cognitive Diagnosis Framework
by: Yang, Shangshang, et al.
Published: (2025)
by: Yang, Shangshang, et al.
Published: (2025)
Audits Under Resource, Data, and Access Constraints: Scaling Laws For Less Discriminatory Alternatives
by: Cen, Sarah H., et al.
Published: (2025)
by: Cen, Sarah H., et al.
Published: (2025)
User Strategization and Trustworthy Algorithms
by: Cen, Sarah H., et al.
Published: (2023)
by: Cen, Sarah H., et al.
Published: (2023)
Identifying Privacy Personas
by: Hrynenko, Olena, et al.
Published: (2024)
by: Hrynenko, Olena, et al.
Published: (2024)
Decision Making with Differential Privacy under a Fairness Lens
by: Fioretto, Ferdinando, et al.
Published: (2021)
by: Fioretto, Ferdinando, et al.
Published: (2021)
A Survey on Trustworthiness in Foundation Models for Medical Image Analysis
by: Shi, Congzhen, et al.
Published: (2024)
by: Shi, Congzhen, et al.
Published: (2024)
Similar Items
-
CortiNet: A Physics-Perception Hybrid Cortical-Inspired Dual-Stream Network for Gallbladder Disease Diagnosis from Ultrasound
by: Kumar, Vagish, et al.
Published: (2026) -
Explainable, Interpretable & Trustworthy AI for Intelligent Digital Twin: Case Study on Remaining Useful Life
by: Kobayashi, Kazuma, et al.
Published: (2023) -
Beyond Uniform Sampling: Synergistic Active Learning and Input Denoising for Robust Neural Operators
by: Roy, Samrendra, et al.
Published: (2026) -
When Spike Sparsity Does Not Translate to Deployed Cost: VS-WNO on Jetson Orin Nano
by: Yoo, Jason, et al.
Published: (2026) -
Deep Neural Operator Driven Real Time Inference for Nuclear Systems to Enable Digital Twin Solutions
by: Kobayashi, Kazuma, et al.
Published: (2023)