Federated Learning for Privacy-Preserving Medical AI
Fuente:
arXiv
Saved in:
| Main Author: | Hoang, Tin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing
by: Lomurno, Eugenio, et al.
Published: (2024)
by: Lomurno, Eugenio, et al.
Published: (2024)
FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation
by: Wang, Ruiyang, et al.
Published: (2026)
by: Wang, Ruiyang, et al.
Published: (2026)
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields
by: Yun, Junhyeog, et al.
Published: (2025)
by: Yun, Junhyeog, et al.
Published: (2025)
Privacy-Preserving Model Transcription with Differentially Private Synthetic Distillation
by: Liu, Bochao, et al.
Published: (2026)
by: Liu, Bochao, et al.
Published: (2026)
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
by: Pan, Zhixin, et al.
Published: (2024)
by: Pan, Zhixin, et al.
Published: (2024)
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic Data
by: Osuala, Richard, et al.
Published: (2024)
by: Osuala, Richard, et al.
Published: (2024)
Privacy-Preserving Operating Room Workflow Analysis using Digital Twins
by: Perez, Alejandra, et al.
Published: (2025)
by: Perez, Alejandra, et al.
Published: (2025)
Personalized Federated Training of Diffusion Models with Privacy Guarantees
by: Patel, Kumar Kshitij, et al.
Published: (2025)
by: Patel, Kumar Kshitij, et al.
Published: (2025)
CSA-Graphs: A Privacy-Preserving Structural Dataset for Child Sexual Abuse Research
by: Caetano, Carlos, et al.
Published: (2026)
by: Caetano, Carlos, et al.
Published: (2026)
MMASD+: A Novel Dataset for Privacy-Preserving Behavior Analysis of Children with Autism Spectrum Disorder
by: Ravva, Pavan Uttej, et al.
Published: (2024)
by: Ravva, Pavan Uttej, et al.
Published: (2024)
Privacy-Preserving Student Learning with Differentially Private Data-Free Distillation
by: Liu, Bochao, et al.
Published: (2024)
by: Liu, Bochao, et al.
Published: (2024)
Learning with Preserving for Continual Multitask Learning
by: Wang, Hanchen David, et al.
Published: (2025)
by: Wang, Hanchen David, et al.
Published: (2025)
Federated Learning With Individualized Privacy Through Client Sampling
by: Lange, Lucas, et al.
Published: (2025)
by: Lange, Lucas, et al.
Published: (2025)
Federated nnU-Net for Privacy-Preserving Medical Image Segmentation
by: Skorupko, Grzegorz, et al.
Published: (2025)
by: Skorupko, Grzegorz, et al.
Published: (2025)
FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise
by: Ye, Mengwen, et al.
Published: (2025)
by: Ye, Mengwen, et al.
Published: (2025)
Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine Learning
by: Lange, Lucas, et al.
Published: (2024)
by: Lange, Lucas, et al.
Published: (2024)
Federated Learning with Feedback Alignment
by: Baek, Incheol, et al.
Published: (2025)
by: Baek, Incheol, et al.
Published: (2025)
Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection
by: Saha, Pramit, et al.
Published: (2024)
by: Saha, Pramit, et al.
Published: (2024)
Unsupervised Contrastive Learning Using Out-Of-Distribution Data for Long-Tailed Dataset
by: Hoang, Cuong Manh, et al.
Published: (2025)
by: Hoang, Cuong Manh, et al.
Published: (2025)
Zero-Shot Decentralized Federated Learning
by: Masano, Alessio, et al.
Published: (2025)
by: Masano, Alessio, et al.
Published: (2025)
Interactive Medical Image Analysis with Concept-based Similarity Reasoning
by: Huy, Ta Duc, et al.
Published: (2025)
by: Huy, Ta Duc, et al.
Published: (2025)
Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework
by: Drenkow, Nathan, et al.
Published: (2025)
by: Drenkow, Nathan, et al.
Published: (2025)
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
by: Lekadir, Karim, et al.
Published: (2021)
by: Lekadir, Karim, et al.
Published: (2021)
Towards Fair Medical AI: Adversarial Debiasing of 3D CT Foundation Embeddings
by: Zheng, Guangyao, et al.
Published: (2025)
by: Zheng, Guangyao, et al.
Published: (2025)
Continual Adaptation of Vision Transformers for Federated Learning
by: Halbe, Shaunak, et al.
Published: (2023)
by: Halbe, Shaunak, et al.
Published: (2023)
Multitask Multimodal Self-Supervised Learning for Medical Images
by: Simionescu, Cristian
Published: (2025)
by: Simionescu, Cristian
Published: (2025)
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
by: Lee, Gihun, et al.
Published: (2023)
by: Lee, Gihun, et al.
Published: (2023)
Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
by: Fanì, Eros, et al.
Published: (2024)
by: Fanì, Eros, et al.
Published: (2024)
Federated Domain Generalization via Prompt Learning and Aggregation
by: Gong, Shuai, et al.
Published: (2024)
by: Gong, Shuai, et al.
Published: (2024)
Evidential Federated Learning for Skin Lesion Image Classification
by: Hendrix, Rutger, et al.
Published: (2024)
by: Hendrix, Rutger, et al.
Published: (2024)
Mitigating Group Bias in Federated Learning for Heterogeneous Devices
by: Selialia, Khotso, et al.
Published: (2023)
by: Selialia, Khotso, et al.
Published: (2023)
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients
by: Fang, Xiuwen, et al.
Published: (2025)
by: Fang, Xiuwen, et al.
Published: (2025)
Cloud-based Federated Learning Framework for MRI Segmentation
by: Prajapati, Rukesh, et al.
Published: (2024)
by: Prajapati, Rukesh, et al.
Published: (2024)
Learning to Stop Overthinking at Test Time
by: Bao, Hieu Tran, et al.
Published: (2025)
by: Bao, Hieu Tran, et al.
Published: (2025)
Federated Learning for Face Recognition via Intra-subject Self-supervised Learning
by: Kim, Hansol, et al.
Published: (2024)
by: Kim, Hansol, et al.
Published: (2024)
Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data
by: Pahde, Frederik, et al.
Published: (2025)
by: Pahde, Frederik, et al.
Published: (2025)
FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning
by: Devkota, Alina, et al.
Published: (2026)
by: Devkota, Alina, et al.
Published: (2026)
Gradient Leakage Defense with Key-Lock Module for Federated Learning
by: Ren, Hanchi, et al.
Published: (2023)
by: Ren, Hanchi, et al.
Published: (2023)
PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)
Lightweight Unsupervised Federated Learning with Pretrained Vision Language Model
by: Yan, Hao, et al.
Published: (2024)
by: Yan, Hao, et al.
Published: (2024)
Similar Items
-
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing
by: Lomurno, Eugenio, et al.
Published: (2024) -
FedFG: Privacy-Preserving and Robust Federated Learning via Flow-Matching Generation
by: Wang, Ruiyang, et al.
Published: (2026) -
FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields
by: Yun, Junhyeog, et al.
Published: (2025) -
Privacy-Preserving Model Transcription with Differentially Private Synthetic Distillation
by: Liu, Bochao, et al.
Published: (2026) -
Privacy-Preserving Debiasing using Data Augmentation and Machine Unlearning
by: Pan, Zhixin, et al.
Published: (2024)