유연한 비라벨 샘플 선택을 통한 동적 연합 반지도 학습

Chen et al. (화요일,)은 이 질문을 연구했습니다.

www.synapsesocial.com/papers/69a761a7c6e9836116a2fb2d — DOI: https://doi.org/10.1016/j.patcog.2026.113326

Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation· 2020 · 535 citations
2. FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition· 2021 · 106 citations
3. Analysis of An Intellectual Mechanism of a Novel Crop Recommendation System Using Improved Heuristic Algorithm-Based Attention and Cascaded Deep Learning Network· 2024 · 29 citations
4. A Cross-Entropy-Guided Measure (CEGM) for Assessing Speech Recognition Performance and Optimizing DNN-Based Speech Enhancement· 2020 · 61 citations
5. Federated Active Semi-Supervised Learning With Communication Efficiency· 2023 · 9 citations