FedSKD: Aggregation-free Model-heterogeneous Federated Learning via Multi-dimensional Similarity Knowledge Distillation for Medical Image Classification
Fuente:
arXiv
Saved in:
| Main Authors: | Weng, Ziqiao, Cai, Weidong, Zhou, Bo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Efficient 4D fMRI ASD Classification using Spatial-Temporal-Omics-based Learning Framework
by: Weng, Ziqiao, et al.
Published: (2025)
by: Weng, Ziqiao, et al.
Published: (2025)
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation
by: Jiang, Wenzheng, et al.
Published: (2025)
by: Jiang, Wenzheng, et al.
Published: (2025)
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
by: Zhu, Yinlin, et al.
Published: (2024)
by: Zhu, Yinlin, et al.
Published: (2024)
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
by: Fan, Boyu, et al.
Published: (2024)
by: Fan, Boyu, et al.
Published: (2024)
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
by: Sun, Zhaobin, et al.
Published: (2024)
by: Sun, Zhaobin, et al.
Published: (2024)
Learning Topology-Aware Implicit Field for Unified Pulmonary Tree Modeling with Incomplete Topological Supervision
by: Weng, Ziqiao, et al.
Published: (2026)
by: Weng, Ziqiao, et al.
Published: (2026)
FedSCA: Federated Tuning with Similarity-guided Collaborative Aggregation for Heterogeneous Medical Image Segmentation
by: Zhang, Yumin, et al.
Published: (2025)
by: Zhang, Yumin, et al.
Published: (2025)
FedAH: Aggregated Head for Personalized Federated Learning
by: Zhou, Pengzhan, et al.
Published: (2024)
by: Zhou, Pengzhan, et al.
Published: (2024)
FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation
by: Tan, Min, et al.
Published: (2026)
by: Tan, Min, et al.
Published: (2026)
Explainable Knowledge Distillation for Efficient Medical Image Classification
by: Mir, Aqib Nazir, et al.
Published: (2025)
by: Mir, Aqib Nazir, et al.
Published: (2025)
FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment
by: Shadin, Nazmus Shakib, et al.
Published: (2026)
by: Shadin, Nazmus Shakib, et al.
Published: (2026)
FedKDX: Federated Learning with Negative Knowledge Distillation for Enhanced Healthcare AI Systems
by: Pham, Quang-Tu, et al.
Published: (2026)
by: Pham, Quang-Tu, et al.
Published: (2026)
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
by: Li, Youpeng, et al.
Published: (2024)
by: Li, Youpeng, et al.
Published: (2024)
Learning from Gene Names, Expression Values and Images: Contrastive Masked Text-Image Pretraining for Spatial Transcriptomics Representation Learning
by: Qian, Jiahe, et al.
Published: (2025)
by: Qian, Jiahe, et al.
Published: (2025)
Dual-Model Weight Selection and Self-Knowledge Distillation for Medical Image Classification
by: Tsutsumi, Ayaka, et al.
Published: (2025)
by: Tsutsumi, Ayaka, et al.
Published: (2025)
FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning
by: Reguieg, Hamza, et al.
Published: (2026)
by: Reguieg, Hamza, et al.
Published: (2026)
FedHL: Federated Learning for Heterogeneous Low-Rank Adaptation via Unbiased Aggregation
by: Peng, Zihao, et al.
Published: (2025)
by: Peng, Zihao, et al.
Published: (2025)
FedD2S: Personalized Data-Free Federated Knowledge Distillation
by: Atapour, Kawa, et al.
Published: (2024)
by: Atapour, Kawa, et al.
Published: (2024)
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning
by: Song, Changlin, et al.
Published: (2024)
by: Song, Changlin, et al.
Published: (2024)
FedSDR: Federated Self-Distillation with Rectification
by: Ren, Ziheng, et al.
Published: (2026)
by: Ren, Ziheng, et al.
Published: (2026)
FedVG: Gradient-Guided Aggregation for Enhanced Federated Learning
by: Devkota, Alina, et al.
Published: (2026)
by: Devkota, Alina, et al.
Published: (2026)
Low-Dimensional Federated Knowledge Graph Embedding via Knowledge Distillation
by: Zhang, Xiaoxiong, et al.
Published: (2024)
by: Zhang, Xiaoxiong, et al.
Published: (2024)
FedTrans: Efficient Federated Learning via Multi-Model Transformation
by: Zhu, Yuxuan, et al.
Published: (2024)
by: Zhu, Yuxuan, et al.
Published: (2024)
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction
by: He, Yuepeng, et al.
Published: (2024)
by: He, Yuepeng, et al.
Published: (2024)
CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification
by: Li, Ludi, et al.
Published: (2025)
by: Li, Ludi, et al.
Published: (2025)
SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation
by: Nasirihaghighi, Sahar, et al.
Published: (2025)
by: Nasirihaghighi, Sahar, et al.
Published: (2025)
FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning
by: Zhou, Yanbing, et al.
Published: (2025)
by: Zhou, Yanbing, et al.
Published: (2025)
FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation
by: Liu, Xiang, et al.
Published: (2023)
by: Liu, Xiang, et al.
Published: (2023)
FedCoT: Federated Chain-of-Thought Distillation for Large Language Models
by: Fan, Tao, et al.
Published: (2024)
by: Fan, Tao, et al.
Published: (2024)
Coding-Enforced Resilient and Secure Aggregation for Hierarchical Federated Learning
by: Weng, Shudi, et al.
Published: (2026)
by: Weng, Shudi, et al.
Published: (2026)
FedMRL: Data Heterogeneity Aware Federated Multi-agent Deep Reinforcement Learning for Medical Imaging
by: Sahoo, Pranab, et al.
Published: (2024)
by: Sahoo, Pranab, et al.
Published: (2024)
FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective
by: Zhou, Zhekai, et al.
Published: (2025)
by: Zhou, Zhekai, et al.
Published: (2025)
FedIA: Federated Medical Image Segmentation with Heterogeneous Annotation Completeness
by: Xiang, Yangyang, et al.
Published: (2024)
by: Xiang, Yangyang, et al.
Published: (2024)
Merging Subgroup Information to Supplement Personal Information for Personalized Federated Learning Through Similar Client Grouping
by: Xuan Cai, et al.
Published: (2025)
by: Xuan Cai, et al.
Published: (2025)
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation
by: Lin, Li, et al.
Published: (2024)
by: Lin, Li, et al.
Published: (2024)
BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring
by: Shu, Zixuan, et al.
Published: (2026)
by: Shu, Zixuan, et al.
Published: (2026)
HFedCKD: Toward Robust Heterogeneous Federated Learning via Data-free Knowledge Distillation and Two-way Contrast
by: Zheng, Yiting, et al.
Published: (2025)
by: Zheng, Yiting, et al.
Published: (2025)
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities
by: Liu, Yi, et al.
Published: (2025)
by: Liu, Yi, et al.
Published: (2025)
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
by: Lai, Jiahao, et al.
Published: (2024)
by: Lai, Jiahao, et al.
Published: (2024)
FedEL: Federated Elastic Learning for Heterogeneous Devices
by: Zhang, Letian, et al.
Published: (2025)
by: Zhang, Letian, et al.
Published: (2025)
Similar Items
-
Efficient 4D fMRI ASD Classification using Spatial-Temporal-Omics-based Learning Framework
by: Weng, Ziqiao, et al.
Published: (2025) -
FedHPD: Heterogeneous Federated Reinforcement Learning via Policy Distillation
by: Jiang, Wenzheng, et al.
Published: (2025) -
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning
by: Zhu, Yinlin, et al.
Published: (2024) -
FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning
by: Fan, Boyu, et al.
Published: (2024) -
FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
by: Sun, Zhaobin, et al.
Published: (2024)