Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
Fuente:
arXiv
Saved in:
| Main Authors: | Ardıç, Emre, Genç, Yakup |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy
by: Ardıç, Emre, et al.
Published: (2026)
by: Ardıç, Emre, et al.
Published: (2026)
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
by: Borazjani, Kasra, et al.
Published: (2025)
by: Borazjani, Kasra, et al.
Published: (2025)
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
by: He, Yuchen, et al.
Published: (2024)
by: He, Yuchen, et al.
Published: (2024)
Adaptive Dual-Mode Distillation with Incentive Schemes for Scalable, Heterogeneous Federated Learning on Non-IID Data
by: Iqbal, Zahid
Published: (2025)
by: Iqbal, Zahid
Published: (2025)
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
by: Qiao, Yu, et al.
Published: (2024)
by: Qiao, Yu, et al.
Published: (2024)
FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
by: Zhao, Yushan, et al.
Published: (2025)
by: Zhao, Yushan, et al.
Published: (2025)
Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images
by: Ribeiro, Elisa Gonçalves, et al.
Published: (2026)
by: Ribeiro, Elisa Gonçalves, et al.
Published: (2026)
Studying Various Activation Functions and Non-IID Data for Machine Learning Model Robustness
by: Dang, Long, et al.
Published: (2025)
by: Dang, Long, et al.
Published: (2025)
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level Optimization
by: Guo, Han, et al.
Published: (2024)
by: Guo, Han, et al.
Published: (2024)
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity
by: Wang, Naibo, et al.
Published: (2024)
by: Wang, Naibo, et al.
Published: (2024)
A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
by: Genç, Furkan, et al.
Published: (2026)
by: Genç, Furkan, et al.
Published: (2026)
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)
Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data
by: Chunduru, Abhijit, et al.
Published: (2025)
by: Chunduru, Abhijit, et al.
Published: (2025)
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
by: Hu, Chen, et al.
Published: (2024)
by: Hu, Chen, et al.
Published: (2024)
FedHCA$^2$: Towards Hetero-Client Federated Multi-Task Learning
by: Lu, Yuxiang, et al.
Published: (2023)
by: Lu, Yuxiang, et al.
Published: (2023)
Sample-Centric Multi-Task Learning for Detection and Segmentation of Industrial Surface Defects
by: Dong, Hang-Cheng, et al.
Published: (2025)
by: Dong, Hang-Cheng, et al.
Published: (2025)
GFPL: Generative Federated Prototype Learning for Resource-Constrained and Data-Imbalanced Vision Task
by: Lu, Shiwei, et al.
Published: (2026)
by: Lu, Shiwei, et al.
Published: (2026)
MTCAE-DFER: Multi-Task Cascaded Autoencoder for Dynamic Facial Expression Recognition
by: Xiang, Peihao, et al.
Published: (2024)
by: Xiang, Peihao, et al.
Published: (2024)
Is Exchangeability better than I.I.D to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?
by: Roy, Ayush, et al.
Published: (2025)
by: Roy, Ayush, et al.
Published: (2025)
Sparse Uncertainty-Informed Sampling from Federated Streaming Data
by: Röder, Manuel, et al.
Published: (2024)
by: Röder, Manuel, et al.
Published: (2024)
SGW-based Multi-Task Learning in Vision Tasks
by: Zhang, Ruiyuan, et al.
Published: (2024)
by: Zhang, Ruiyuan, et al.
Published: (2024)
Towards Robust Federated Learning via Logits Calibration on Non-IID Data
by: Qiao, Yu, et al.
Published: (2024)
by: Qiao, Yu, et al.
Published: (2024)
SoftSAE: Dynamic Top-K Selection for Adaptive Sparse Autoencoders
by: Stępień, Jakub, et al.
Published: (2026)
by: Stępień, Jakub, et al.
Published: (2026)
SRL-SOA: Self-Representation Learning with Sparse 1D-Operational Autoencoder for Hyperspectral Image Band Selection
by: Ahishali, Mete, et al.
Published: (2022)
by: Ahishali, Mete, et al.
Published: (2022)
DiffusionMTL: Learning Multi-Task Denoising Diffusion Model from Partially Annotated Data
by: Ye, Hanrong, et al.
Published: (2024)
by: Ye, Hanrong, et al.
Published: (2024)
Robust Representation Learning in Masked Autoencoders
by: Shrivastava, Anika, et al.
Published: (2026)
by: Shrivastava, Anika, et al.
Published: (2026)
Differential-informed Sample Selection Accelerates Multimodal Contrastive Learning
by: Zhao, Zihua, et al.
Published: (2025)
by: Zhao, Zihua, et al.
Published: (2025)
Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
by: Fan, Yunfeng, et al.
Published: (2023)
by: Fan, Yunfeng, et al.
Published: (2023)
Towards Multi-modal Transformers in Federated Learning
by: Sun, Guangyu, et al.
Published: (2024)
by: Sun, Guangyu, et al.
Published: (2024)
Many-Task Federated Fine-Tuning via Unified Task Vectors
by: Tsouvalas, Vasileios, et al.
Published: (2025)
by: Tsouvalas, Vasileios, et al.
Published: (2025)
Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling
by: Wei, Yipan, et al.
Published: (2025)
by: Wei, Yipan, et al.
Published: (2025)
SARMAE: Masked Autoencoder for SAR Representation Learning
by: Liu, Danxu, et al.
Published: (2025)
by: Liu, Danxu, et al.
Published: (2025)
Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
by: Shao, Qian, et al.
Published: (2024)
by: Shao, Qian, et al.
Published: (2024)
Beer-Lambert Autoencoder for Unsupervised Stain Representation Learning and Deconvolution in Multi-immunohistochemical Brightfield Histology Images
by: Eastwood, Mark, et al.
Published: (2026)
by: Eastwood, Mark, et al.
Published: (2026)
Rep-MTL: Unleashing the Power of Representation-level Task Saliency for Multi-Task Learning
by: Wang, Zedong, et al.
Published: (2025)
by: Wang, Zedong, et al.
Published: (2025)
Gradient Similarity Surgery in Multi-Task Deep Learning
by: Borsani, Thomas, et al.
Published: (2025)
by: Borsani, Thomas, et al.
Published: (2025)
Improved Multi-Task Brain Tumour Segmentation with Synthetic Data Augmentation
by: Ferreira, André, et al.
Published: (2024)
by: Ferreira, André, et al.
Published: (2024)
Forgettable Federated Linear Learning with Certified Data Unlearning
by: Jin, Ruinan, et al.
Published: (2023)
by: Jin, Ruinan, et al.
Published: (2023)
An Aggregation-Free Federated Learning for Tackling Data Heterogeneity
by: Wang, Yuan, et al.
Published: (2024)
by: Wang, Yuan, et al.
Published: (2024)
Recovering Global Data Distribution Locally in Federated Learning
by: Yao, Ziyu
Published: (2024)
by: Yao, Ziyu
Published: (2024)
Similar Items
-
Enhanced Privacy and Communication Efficiency in Non-IID Federated Learning with Adaptive Quantization and Differential Privacy
by: Ardıç, Emre, et al.
Published: (2026) -
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions
by: Borazjani, Kasra, et al.
Published: (2025) -
FPPL: An Efficient and Non-IID Robust Federated Continual Learning Framework
by: He, Yuchen, et al.
Published: (2024) -
Adaptive Dual-Mode Distillation with Incentive Schemes for Scalable, Heterogeneous Federated Learning on Non-IID Data
by: Iqbal, Zahid
Published: (2025) -
Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
by: Qiao, Yu, et al.
Published: (2024)