(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Lee, Seungjoo, Le, Thanh-Long V., Shin, Jaemin, Lee, Sung-Ju |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities
por: Orzikulova, Adiba, et al.
Publicado: (2024)
por: Orzikulova, Adiba, et al.
Publicado: (2024)
ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
por: Chen, Duowen, et al.
Publicado: (2026)
por: Chen, Duowen, et al.
Publicado: (2026)
NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients
por: Kang, Honggu, et al.
Publicado: (2023)
por: Kang, Honggu, et al.
Publicado: (2023)
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
por: Kim, Sunwoo, et al.
Publicado: (2024)
por: Kim, Sunwoo, et al.
Publicado: (2024)
Self-Supervised Dataset Distillation for Transfer Learning
por: Lee, Dong Bok, et al.
Publicado: (2023)
por: Lee, Dong Bok, et al.
Publicado: (2023)
Set-based Meta-Interpolation for Few-Task Meta-Learning
por: Lee, Seanie, et al.
Publicado: (2022)
por: Lee, Seanie, et al.
Publicado: (2022)
Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
por: Bae, Chaewoon, et al.
Publicado: (2025)
por: Bae, Chaewoon, et al.
Publicado: (2025)
FedAnchor: Enhancing Federated Semi-Supervised Learning with Label Contrastive Loss for Unlabeled Clients
por: Qiu, Xinchi, et al.
Publicado: (2024)
por: Qiu, Xinchi, et al.
Publicado: (2024)
Little is Enough: Boosting Privacy by Sharing Only Hard Labels in Federated Semi-Supervised Learning
por: Abourayya, Amr, et al.
Publicado: (2023)
por: Abourayya, Amr, et al.
Publicado: (2023)
SLADE: Detecting Dynamic Anomalies in Edge Streams without Labels via Self-Supervised Learning
por: Lee, Jongha, et al.
Publicado: (2024)
por: Lee, Jongha, et al.
Publicado: (2024)
Node Assigned physics-informed neural networks for thermal-hydraulic system simulation: CVH/FL module
por: Shin, Jeesuk, et al.
Publicado: (2025)
por: Shin, Jeesuk, et al.
Publicado: (2025)
DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
por: Le, Qi, et al.
Publicado: (2024)
por: Le, Qi, et al.
Publicado: (2024)
Semi-Supervised Federated Multi-Label Feature Selection with Fuzzy Information Measures
por: Mahanipour, Afsaneh, et al.
Publicado: (2025)
por: Mahanipour, Afsaneh, et al.
Publicado: (2025)
Flame: Simplifying Topology Extension in Federated Learning
por: Daga, Harshit, et al.
Publicado: (2023)
por: Daga, Harshit, et al.
Publicado: (2023)
FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates
por: Park, Sangwoo, et al.
Publicado: (2025)
por: Park, Sangwoo, et al.
Publicado: (2025)
Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
por: Baumgart, Gustav A., et al.
Publicado: (2024)
por: Baumgart, Gustav A., et al.
Publicado: (2024)
IP-FL: Incentivized and Personalized Federated Learning
por: Khan, Ahmad Faraz, et al.
Publicado: (2023)
por: Khan, Ahmad Faraz, et al.
Publicado: (2023)
Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis
por: Dai, Yajiao, et al.
Publicado: (2025)
por: Dai, Yajiao, et al.
Publicado: (2025)
CATCHFed: Efficient Unlabeled Data Utilization for Semi-Supervised Federated Learning in Limited Labels Environments
por: Park, Byoungjun, et al.
Publicado: (2025)
por: Park, Byoungjun, et al.
Publicado: (2025)
Learning Label Refinement and Threshold Adjustment for Imbalanced Semi-Supervised Learning
por: Li, Zeju, et al.
Publicado: (2024)
por: Li, Zeju, et al.
Publicado: (2024)
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
por: Hwang, Yoontae, et al.
Publicado: (2024)
por: Hwang, Yoontae, et al.
Publicado: (2024)
AugFL: Augmenting Federated Learning with Pretrained Models
por: Yue, Sheng, et al.
Publicado: (2025)
por: Yue, Sheng, et al.
Publicado: (2025)
Empowering HWNs with Efficient Data Labeling: A Clustered Federated Semi-Supervised Learning Approach
por: Hamood, Moqbel, et al.
Publicado: (2024)
por: Hamood, Moqbel, et al.
Publicado: (2024)
Semi-Supervised Regression with Heteroscedastic Pseudo-Labels
por: Sun, Xueqing, et al.
Publicado: (2025)
por: Sun, Xueqing, et al.
Publicado: (2025)
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
por: Lee, Taeckyung, et al.
Publicado: (2024)
por: Lee, Taeckyung, et al.
Publicado: (2024)
BlazeFL: Fast and Deterministic Federated Learning Simulation
por: Azuma, Kitsuya, et al.
Publicado: (2026)
por: Azuma, Kitsuya, et al.
Publicado: (2026)
ByzFL: Research Framework for Robust Federated Learning
por: González, Marc, et al.
Publicado: (2025)
por: González, Marc, et al.
Publicado: (2025)
'Hello, World!': Making GNNs Talk with LLMs
por: Kim, Sunwoo, et al.
Publicado: (2025)
por: Kim, Sunwoo, et al.
Publicado: (2025)
Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
por: Xiao, Jia-Hao, et al.
Publicado: (2024)
por: Xiao, Jia-Hao, et al.
Publicado: (2024)
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
por: Zhang, Tuo, et al.
Publicado: (2023)
por: Zhang, Tuo, et al.
Publicado: (2023)
Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning
por: Zhong, Yan, et al.
Publicado: (2025)
por: Zhong, Yan, et al.
Publicado: (2025)
Multi-View Semi-Supervised Label Distribution Learning with Local Structure Complementarity
por: Xiao, Yanshan, et al.
Publicado: (2025)
por: Xiao, Yanshan, et al.
Publicado: (2025)
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning
por: Kim, Jeonghye, et al.
Publicado: (2024)
por: Kim, Jeonghye, et al.
Publicado: (2024)
FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
por: Lee, Seanie, et al.
Publicado: (2025)
por: Lee, Seanie, et al.
Publicado: (2025)
MEC: Machine-Learning-Assisted Generalized Entropy Calibration for Semi-Supervised Mean Estimation
por: Lee, Se Yoon, et al.
Publicado: (2026)
por: Lee, Se Yoon, et al.
Publicado: (2026)
RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning
por: Lee, Cheol-Hui, et al.
Publicado: (2026)
por: Lee, Cheol-Hui, et al.
Publicado: (2026)
LiD-FL: Towards List-Decodable Federated Learning
por: Liu, Hong, et al.
Publicado: (2024)
por: Liu, Hong, et al.
Publicado: (2024)
Few Shot Semi-Supervised Learning for Abnormal Stop Detection from Sparse GPS Trajectories
por: Sabir, Muhammad Ayub, et al.
Publicado: (2025)
por: Sabir, Muhammad Ayub, et al.
Publicado: (2025)
Adaptive Collaborative Correlation Learning-based Semi-Supervised Multi-Label Feature Selection
por: Yang, Li, et al.
Publicado: (2024)
por: Yang, Li, et al.
Publicado: (2024)
From Human Labels to Literature: Semi-Supervised Learning of NMR Chemical Shifts at Scale
por: Jin, Yongqi, et al.
Publicado: (2026)
por: Jin, Yongqi, et al.
Publicado: (2026)
Ejemplares similares
-
Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities
por: Orzikulova, Adiba, et al.
Publicado: (2024) -
ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
por: Chen, Duowen, et al.
Publicado: (2026) -
NeFL: Nested Model Scaling for Federated Learning with System Heterogeneous Clients
por: Kang, Honggu, et al.
Publicado: (2023) -
HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
por: Kim, Sunwoo, et al.
Publicado: (2024) -
Self-Supervised Dataset Distillation for Transfer Learning
por: Lee, Dong Bok, et al.
Publicado: (2023)