Cover Image

Self-Supervised Federated Learning under Data Heterogeneity for Label-Scarce Diatom Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Mingkun, Wang, Xilu, Kloster, Michael, Nattkemper, Tim W.
Format:	Preprint
Published:	2026
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

SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
by: Khowaja, Sunder Ali, et al.
Published: (2023)

Enhancing Self-Supervised Learning for Remote Sensing with Elevation Data: A Case Study with Scarce And High Level Semantic Labels
by: Castaño-Idarraga, Omar A., et al.
Published: (2023)

PRECISe : Prototype-Reservation for Explainable Classification under Imbalanced and Scarce-Data Settings
by: Ganatra, Vaibhav, et al.
Published: (2024)

Leveraging Semi-Supervised Learning to Enhance Data Mining for Image Classification under Limited Labeled Data
by: Shen, Aoran, et al.
Published: (2024)

Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation
by: Deshpande, Tanvi, et al.
Published: (2024)

Investigating Self-Supervised Methods for Label-Efficient Learning
by: Nandam, Srinivasa Rao, et al.
Published: (2024)

Self-Supervised Contrastive Learning for Multi-Label Images
by: Chen, Jiale
Published: (2025)

Enhancing Representations through Heterogeneous Self-Supervised Learning
by: Li, Zhong-Yu, et al.
Published: (2023)

Active Self-Semi-Supervised Learning for Few Labeled Samples
by: Wen, Ziting, et al.
Published: (2022)

NAPPure: Adversarial Purification for Robust Image Classification under Non-Additive Perturbations
by: Nan, Junjie, et al.
Published: (2025)

Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Federated Object Detection
by: Kim, Taehyeon, et al.
Published: (2023)

Neural Collapse-Inspired Multi-Label Federated Learning under Label-Distribution Skew
by: Peng, Can, et al.
Published: (2025)

Self-Supervised Place Recognition by Refining Temporal and Featural Pseudo Labels from Panoramic Data
by: Chen, Chao, et al.
Published: (2022)

Federated Learning with Partially Labeled Data: A Conditional Distillation Approach
by: Wang, Pochuan, et al.
Published: (2024)

Information Flow in Self-Supervised Learning
by: Tan, Zhiquan, et al.
Published: (2023)

Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification
by: Büyüktaş, Barış, et al.
Published: (2024)

Self-Supervised YOLO: Leveraging Contrastive Learning for Label-Efficient Object Detection
by: Kotthapalli, Manikanta, et al.
Published: (2025)

Spectral-Spatial Self-Supervised Learning for Few-Shot Hyperspectral Image Classification
by: Chen, Wenchen, et al.
Published: (2025)

PEPL: Precision-Enhanced Pseudo-Labeling for Fine-Grained Image Classification in Semi-Supervised Learning
by: Tian, Bowen, et al.
Published: (2024)

Easy3D-Labels: Supervising Semantic Occupancy Estimation with 3D Pseudo-Labels for Automotive Perception
by: Hayes, Seamie, et al.
Published: (2025)

Explorations in Self-Supervised Learning: Dataset Composition Testing for Object Classification
by: Chavez, Raynor Kirkson E., et al.
Published: (2024)

A Deep Learning Framework with Geographic Information Adaptive Loss for Remote Sensing Images based UAV Self-Positioning
by: Li, Mingkun, et al.
Published: (2025)

Semi-Supervised Hyperspectral Image Classification with Edge-Aware Superpixel Label Propagation and Adaptive Pseudo-Labeling
by: Qiu, Yunfei, et al.
Published: (2026)

Cooperative Pseudo Labeling for Unsupervised Federated Classification
by: Guo, Kuangpu, et al.
Published: (2025)

A Generative Framework for Self-Supervised Facial Representation Learning
by: He, Ruian, et al.
Published: (2023)

Exploring Vacant Classes in Label-Skewed Federated Learning
by: Guo, Kuangpu, et al.
Published: (2024)

Federated Self-supervised Domain Generalization for Label-efficient Polyp Segmentation
by: Tan, Xinyi, et al.
Published: (2025)

In-Domain Self-Supervised Learning Improves Remote Sensing Image Scene Classification
by: Dimitrovski, Ivica, et al.
Published: (2023)

Joint-Embedding Predictive Architecture for Self-Supervised Learning of Mask Classification Architecture
by: Kim, Dong-Hee, et al.
Published: (2024)

Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification
by: Wu, Yihang, et al.
Published: (2025)

A Label Propagation Strategy for CutMix in Multi-Label Remote Sensing Image Classification
by: Burgert, Tom, et al.
Published: (2024)

Contrastive Learning under Noisy Temporal Self-Supervision for Colonoscopy Videos
by: Parolari, Luca, et al.
Published: (2026)

Cross-Modal Self-Training: Aligning Images and Pointclouds to Learn Classification without Labels
by: Dharmasiri, Amaya, et al.
Published: (2024)

Multi-Label Plant Species Classification with Self-Supervised Vision Transformers
by: Gustineli, Murilo, et al.
Published: (2024)

An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
by: Wang, Yuan, et al.
Published: (2024)

Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels
by: Lee, Seungho, et al.
Published: (2024)

Without Paired Labeled Data: End-to-End Self-Supervised Learning for Drone-view Geo-Localization
by: Chen, Zhongwei, et al.
Published: (2025)

Heterogeneous Federated Learning with Splited Language Model
by: Shi, Yifan, et al.
Published: (2024)

OwMatch: Conditional Self-Labeling with Consistency for Open-World Semi-Supervised Learning
by: Niu, Shengjie, et al.
Published: (2024)

Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
by: Lee, Junha, et al.
Published: (2024)