Cover Image

Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhao, Xingyue, Huang, Wenke, Wang, Xingguang, Zhao, Haoyu, Zhuang, Linghao, Jiang, Anwen, Wan, Guancheng, Ye, Mang
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Federated Graph Semantic and Structural Learning
by: Huang, Wenke, et al.
Published: (2024)

FedSSP: Federated Graph Learning with Spectral Knowledge and Personalized Preference
by: Tan, Zihan, et al.
Published: (2024)

pFedSAM: Personalized Federated Learning of Segment Anything Model for Medical Image Segmentation
by: Wang, Tong, et al.
Published: (2025)

S2FGL: Spatial Spectral Federated Graph Learning
by: Tan, Zihan, et al.
Published: (2025)

LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
by: Liang, Jian, et al.
Published: (2025)

Privacy-Enhancing Paradigms within Federated Multi-Agent Systems
by: Shi, Zitong, et al.
Published: (2025)

Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
by: Zheng, Shunfan, et al.
Published: (2025)

ThanoRA: Task Heterogeneity-Aware Multi-Task Low-Rank Adaptation
by: Liang, Jian, et al.
Published: (2025)

Fair Federated Learning under Domain Skew with Local Consistency and Domain Diversity
by: Chen, Yuhang, et al.
Published: (2024)

An Empirical Study of Federated Prompt Learning for Vision Language Model
by: Wang, Zhihao, et al.
Published: (2025)

ActiveSSF: An Active-Learning-Guided Self-Supervised Framework for Long-Tailed Megakaryocyte Classification
by: Zhuang, Linghao, et al.
Published: (2025)

Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models
by: Xiao, Junyuan, et al.
Published: (2026)

DCDM: Divide-and-Conquer Diffusion Models for Consistency-Preserving Video Generation
by: Zhao, Haoyu, et al.
Published: (2026)

Articulat3D: Reconstructing Articulated Digital Twins From Monocular Videos with Geometric and Motion Constraints
by: Guo, Lijun, et al.
Published: (2026)

Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
by: Cong, Runmin, et al.
Published: (2025)

Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks
by: Jia, Yuang, et al.
Published: (2025)

Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning
by: Huang, Wenke, et al.
Published: (2024)

SafeGRPO: Self-Rewarded Multimodal Safety Alignment via Rule-Governed Policy Optimization
by: Rong, Xuankun, et al.
Published: (2025)

Qubit Mapping: The Adaptive Divide-and-Conquer Approach
by: Huang, Yunqi, et al.
Published: (2024)

Causal Discovery for Cross-Sectional Data Based on Super-Structure and Divide-and-Conquer
by: Wang, Wenyu, et al.
Published: (2026)

Memory Consistency Guided Divide-and-Conquer Learning for Generalized Category Discovery
by: Tu, Yuanpeng, et al.
Published: (2024)

Divide-and-Conquer: Dual-Hierarchical Optimization for Semantic 4D Gaussian Spatting
by: Yan, Zhiying, et al.
Published: (2025)

A Hierarchical Divide‐and‐Conquer Neural Approach for Multiple Traveling Salesman Problems
by: Bei Ou, et al.
Published: (2026)

Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models
by: Ye, Zhipeng, et al.
Published: (2026)

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning
by: Zhang, Weiliang, et al.
Published: (2025)

MoreStyle: Relax Low-frequency Constraint of Fourier-based Image Reconstruction in Generalizable Medical Image Segmentation
by: Zhao, Haoyu, et al.
Published: (2024)

Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
by: Dai, Congren, et al.
Published: (2025)

Multifractal Recalibration of Neural Networks for Medical Imaging Segmentation
by: Martins, Miguel L., et al.
Published: (2025)

Dividing and Conquering the Van Vleck Catastrophe
by: Simon, Sophia, et al.
Published: (2025)

Positive Style Accumulation: A Style Screening and Continuous Utilization Framework for Federated DG-ReID
by: Xu, Xin, et al.
Published: (2025)

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
by: Huang, Chengsong, et al.
Published: (2024)

DC-TTA: Divide-and-Conquer Framework for Test-Time Adaptation of Interactive Segmentation
by: Kim, Jihun, et al.
Published: (2025)

Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for Semantic Segmentation
by: Lian, Tao, et al.
Published: (2024)

PDC-Net: Pattern Divide-and-Conquer Network for Pelvic Radiation Injury Segmentation
by: Xiong, Xinyu, et al.
Published: (2025)

Decomposition-Based Synthesis for Applying Divide-and-Conquer-Like Algorithmic Paradigms
by: Ji, Ruyi, et al.
Published: (2022)

Temporal Divide-and-Conquer Anomaly Actions Localization in Semi-Supervised Videos with Hierarchical Transformer
by: Osman, Nada, et al.
Published: (2024)

Fine-grained Verbal Attack Detection via a Hierarchical Divide-and-Conquer Framework
by: Zheng, Quan, et al.
Published: (2026)

CoT-Kinetics: A Theoretical Modeling Assessing LRM Reasoning Process
by: Bi, Jinhe, et al.
Published: (2025)

DCARL: A Divide-and-Conquer Framework for Autoregressive Long-Trajectory Video Generation
by: Ouyang, Junyi, et al.
Published: (2026)

Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors
by: Zhao, Haoyu, et al.
Published: (2025)