FEDKIM: Adaptive Federated Knowledge Injection into Medical Foundation Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Xiaochen, Wang, Jiaqi, Xiao, Houping, Chen, Jinghui, Ma, Fenglong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning
by: Luo, Junyu, et al.
Published: (2024)
by: Luo, Junyu, et al.
Published: (2024)
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
by: Cui, Suhan, et al.
Published: (2024)
by: Cui, Suhan, et al.
Published: (2024)
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
by: Yu, Tianrun, et al.
Published: (2025)
by: Yu, Tianrun, et al.
Published: (2025)
Recent Advances in Predictive Modeling with Electronic Health Records
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models
by: Chang, Aofei, et al.
Published: (2024)
by: Chang, Aofei, et al.
Published: (2024)
FADAS: Towards Federated Adaptive Asynchronous Optimization
by: Wang, Yujia, et al.
Published: (2024)
by: Wang, Yujia, et al.
Published: (2024)
MEDMKG: Benchmarking Medical Knowledge Exploitation with Multimodal Knowledge Graph
by: Wang, Xiaochen, et al.
Published: (2025)
by: Wang, Xiaochen, et al.
Published: (2025)
Foundation Model of Electronic Medical Records for Adaptive Risk Estimation
by: Renc, Pawel, et al.
Published: (2025)
by: Renc, Pawel, et al.
Published: (2025)
Stragglers Can Contribute More: Uncertainty-Aware Distillation for Asynchronous Federated Learning
by: Wang, Yujia, et al.
Published: (2025)
by: Wang, Yujia, et al.
Published: (2025)
FedPFT: Federated Proxy Fine-Tuning of Foundation Models
by: Peng, Zhaopeng, et al.
Published: (2024)
by: Peng, Zhaopeng, et al.
Published: (2024)
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
by: Xie, Luyuan, et al.
Published: (2024)
by: Xie, Luyuan, et al.
Published: (2024)
Ten Challenging Problems in Federated Foundation Models
by: Fan, Tao, et al.
Published: (2025)
by: Fan, Tao, et al.
Published: (2025)
Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
by: Che, Liwei, et al.
Published: (2024)
by: Che, Liwei, et al.
Published: (2024)
HeTa: Relation-wise Heterogeneous Graph Foundation Attack Model
by: Wang, Yuling, et al.
Published: (2025)
by: Wang, Yuling, et al.
Published: (2025)
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures
by: Wang, Lixu, et al.
Published: (2024)
by: Wang, Lixu, et al.
Published: (2024)
Federated Generative Learning with Foundation Models
by: Zhang, Jie, et al.
Published: (2023)
by: Zhang, Jie, et al.
Published: (2023)
FoME: A Foundation Model for EEG using Adaptive Temporal-Lateral Attention Scaling
by: Shi, Enze, et al.
Published: (2024)
by: Shi, Enze, et al.
Published: (2024)
Preserving Plasticity in Continual Learning with Adaptive Linearity Injection
by: Rohani, Seyed Roozbeh Razavi, et al.
Published: (2025)
by: Rohani, Seyed Roozbeh Razavi, et al.
Published: (2025)
TAP: Two-Stage Adaptive Personalization of Multi-Task and Multi-Modal Foundation Models in Federated Learning
by: Lee, Seohyun, et al.
Published: (2025)
by: Lee, Seohyun, et al.
Published: (2025)
Veridical Data Science for Medical Foundation Models
by: Alaa, Ahmed, et al.
Published: (2024)
by: Alaa, Ahmed, et al.
Published: (2024)
Medical Multimodal Foundation Models in Clinical Diagnosis and Treatment: Applications, Challenges, and Future Directions
by: Sun, Kai, et al.
Published: (2024)
by: Sun, Kai, et al.
Published: (2024)
A Survey on Parameter-Efficient Fine-Tuning for Foundation Models in Federated Learning
by: Bian, Jieming, et al.
Published: (2025)
by: Bian, Jieming, et al.
Published: (2025)
Doubly Stochastic Adaptive Neighbors Clustering via the Marcus Mapping
by: Yuan, Jinghui, et al.
Published: (2024)
by: Yuan, Jinghui, et al.
Published: (2024)
Learning Universal Human Mobility Patterns with a Foundation Model for Cross-domain Data Fusion
by: Ma, Haoxuan, et al.
Published: (2025)
by: Ma, Haoxuan, et al.
Published: (2025)
SPA: A Simple but Tough-to-Beat Baseline for Knowledge Injection
by: Tang, Kexian, et al.
Published: (2026)
by: Tang, Kexian, et al.
Published: (2026)
Foundation Model in Biomedicine
by: Liu, Xiangrui, et al.
Published: (2025)
by: Liu, Xiangrui, et al.
Published: (2025)
Advances and Open Challenges in Federated Foundation Models
by: Ren, Chao, et al.
Published: (2024)
by: Ren, Chao, et al.
Published: (2024)
Discrete Prototypical Memories for Federated Time Series Foundation Models
by: Deng, Liwei, et al.
Published: (2026)
by: Deng, Liwei, et al.
Published: (2026)
H2Tune: Federated Foundation Model Fine-Tuning with Hybrid Heterogeneity
by: Guo, Wei, et al.
Published: (2025)
by: Guo, Wei, et al.
Published: (2025)
Easy Adaptation: An Efficient Task-Specific Knowledge Injection Method for Large Models in Resource-Constrained Environments
by: Chen, Dong, et al.
Published: (2025)
by: Chen, Dong, et al.
Published: (2025)
Towards Graph Foundation Models: Training on Knowledge Graphs Enables Transferability to General Graphs
by: Wang, Kai, et al.
Published: (2024)
by: Wang, Kai, et al.
Published: (2024)
Combating the Bucket Effect:Multi-Knowledge Alignment for Medication Recommendation
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Geometric Structural Knowledge Graph Foundation Model
by: Xin, Ling, et al.
Published: (2025)
by: Xin, Ling, et al.
Published: (2025)
How Expressive are Knowledge Graph Foundation Models?
by: Huang, Xingyue, et al.
Published: (2025)
by: Huang, Xingyue, et al.
Published: (2025)
PR-CapsNet: Pseudo-Riemannian Capsule Network with Adaptive Curvature Routing for Graph Learning
by: Qin, Ye, et al.
Published: (2025)
by: Qin, Ye, et al.
Published: (2025)
Parametric Feature Transfer: One-shot Federated Learning with Foundation Models
by: Beitollahi, Mahdi, et al.
Published: (2024)
by: Beitollahi, Mahdi, et al.
Published: (2024)
Synergizing Foundation Models and Federated Learning: A Survey
by: Li, Shenghui, et al.
Published: (2024)
by: Li, Shenghui, et al.
Published: (2024)
Adaptive Prototype Knowledge Transfer for Federated Learning with Mixed Modalities and Heterogeneous Tasks
by: Gai, Keke, et al.
Published: (2025)
by: Gai, Keke, et al.
Published: (2025)
Conformalized Neural Networks for Federated Uncertainty Quantification under Dual Heterogeneity
by: Nguyen, Quang-Huy, et al.
Published: (2026)
by: Nguyen, Quang-Huy, et al.
Published: (2026)
Similar Items
-
FEDMEKI: A Benchmark for Scaling Medical Foundation Models via Federated Knowledge Injection
by: Wang, Jiaqi, et al.
Published: (2024) -
CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning
by: Luo, Junyu, et al.
Published: (2024) -
Automated Fusion of Multimodal Electronic Health Records for Better Medical Predictions
by: Cui, Suhan, et al.
Published: (2024) -
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
by: Yu, Tianrun, et al.
Published: (2025) -
Recent Advances in Predictive Modeling with Electronic Health Records
by: Wang, Jiaqi, et al.
Published: (2024)