Saved in:
| Main Authors: | Baykara, Cem Ata, Ünal, Ali Burak, Pfeifer, Nico, Akgün, Mete |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2411.17287 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
by: Reichart, Larissa, et al.
Published: (2025)
by: Reichart, Larissa, et al.
Published: (2025)
Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning
by: Ünal, Ali Burak, et al.
Published: (2025)
by: Ünal, Ali Burak, et al.
Published: (2025)
Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
by: Baykara, Cem Ata, et al.
Published: (2024)
by: Baykara, Cem Ata, et al.
Published: (2024)
Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
by: Baykara, Cem Ata, et al.
Published: (2025)
by: Baykara, Cem Ata, et al.
Published: (2025)
CECILIA: Comprehensive Secure Machine Learning Framework
by: Ünal, Ali Burak, et al.
Published: (2022)
by: Ünal, Ali Burak, et al.
Published: (2022)
Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications
by: Jentsch, Julia, et al.
Published: (2024)
by: Jentsch, Julia, et al.
Published: (2024)
A Privacy-Preserving Federated Learning Approach for Kernel methods
by: Hannemann, Anika, et al.
Published: (2023)
by: Hannemann, Anika, et al.
Published: (2023)
PP-GWAS: Privacy Preserving Multi-Site Genome-wide Association Studies
by: Swaminathan, Arjhun, et al.
Published: (2024)
by: Swaminathan, Arjhun, et al.
Published: (2024)
Private, Efficient and Scalable Kernel Learning for Medical Image Analysis
by: Hannemann, Anika, et al.
Published: (2024)
by: Hannemann, Anika, et al.
Published: (2024)
Accelerating Privacy-Preserving Medical Record Linkage: A Three-Party MPC Approach
by: Mağara, Şeyma Selcan, et al.
Published: (2024)
by: Mağara, Şeyma Selcan, et al.
Published: (2024)
Distributed and Secure Kernel-Based Quantum Machine Learning
by: Swaminathan, Arjhun, et al.
Published: (2024)
by: Swaminathan, Arjhun, et al.
Published: (2024)
Empirical Evidence for Simply Connected Decision Regions in Image Classifiers
by: Swaminathan, Arjhun, et al.
Published: (2026)
by: Swaminathan, Arjhun, et al.
Published: (2026)
Accelerating Targeted Hard-Label Adversarial Attacks in Low-Query Black-Box Settings
by: Swaminathan, Arjhun, et al.
Published: (2025)
by: Swaminathan, Arjhun, et al.
Published: (2025)
Differentially Private Clustered Federated Learning with Privacy-Preserving Initialization and Normality-Driven Aggregation
by: Xu, Jie, et al.
Published: (2026)
by: Xu, Jie, et al.
Published: (2026)
Uncertainty-Guided Alignment for Unsupervised Domain Adaptation in Regression
by: Nejjar, Ismail, et al.
Published: (2024)
by: Nejjar, Ismail, et al.
Published: (2024)
One-Shot Federated Unsupervised Domain Adaptation with Scaled Entropy Attention and Multi-Source Smoothed Pseudo Labeling
by: Abedi, Ali, et al.
Published: (2025)
by: Abedi, Ali, et al.
Published: (2025)
Unsupervised Domain Adaptation Via Data Pruning
by: Napoli, Andrea, et al.
Published: (2024)
by: Napoli, Andrea, et al.
Published: (2024)
Efficient Unsupervised Domain Adaptation Regression for Spatial-Temporal Sensor Fusion
by: Niresi, Keivan Faghih, et al.
Published: (2024)
by: Niresi, Keivan Faghih, et al.
Published: (2024)
Vicinity-Guided Discriminative Latent Diffusion for Privacy-Preserving Domain Adaptation
by: Wang, Jing, et al.
Published: (2025)
by: Wang, Jing, et al.
Published: (2025)
Stein Discrepancy for Unsupervised Domain Adaptation
by: von Seeger, Anneke, et al.
Published: (2025)
by: von Seeger, Anneke, et al.
Published: (2025)
Efficient Fine-Tuning with Domain Adaptation for Privacy-Preserving Vision Transformer
by: Nagamori, Teru, et al.
Published: (2024)
by: Nagamori, Teru, et al.
Published: (2024)
Graph Federated Unlearning for Privacy Preservation
by: Ma, Ruotong, et al.
Published: (2026)
by: Ma, Ruotong, et al.
Published: (2026)
Uncertainty Awareness on Unsupervised Domain Adaptation for Time Series Data
by: Liu, Weide, et al.
Published: (2025)
by: Liu, Weide, et al.
Published: (2025)
Scaling Laws for Precision in High-Dimensional Linear Regression
by: Zhang, Dechen, et al.
Published: (2026)
by: Zhang, Dechen, et al.
Published: (2026)
Preserving Privacy and Security in Federated Learning
by: Nguyen, Truc, et al.
Published: (2022)
by: Nguyen, Truc, et al.
Published: (2022)
Federated Unsupervised Domain Generalization using Global and Local Alignment of Gradients
by: Pourpanah, Farhad, et al.
Published: (2024)
by: Pourpanah, Farhad, et al.
Published: (2024)
Multi-Source Unsupervised Domain Adaptation with Prototype Aggregation
by: Huang, Min, et al.
Published: (2024)
by: Huang, Min, et al.
Published: (2024)
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data
by: Xu, Yukai, et al.
Published: (2024)
by: Xu, Yukai, et al.
Published: (2024)
Rethinking Propagation for Unsupervised Graph Domain Adaptation
by: Liu, Meihan, et al.
Published: (2024)
by: Liu, Meihan, et al.
Published: (2024)
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
by: Yu, Sixing, et al.
Published: (2023)
by: Yu, Sixing, et al.
Published: (2023)
FedSAF: A Federated Learning Framework for Enhanced Gastric Cancer Detection and Privacy Preservation
by: Miao, Yuxin, et al.
Published: (2025)
by: Miao, Yuxin, et al.
Published: (2025)
Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning
by: Miao, Xiaoye, et al.
Published: (2025)
by: Miao, Xiaoye, et al.
Published: (2025)
Privacy-Preserving Federated Learning via Dataset Distillation
by: Xu, ShiMao, et al.
Published: (2024)
by: Xu, ShiMao, et al.
Published: (2024)
Deep Neural Regression Collapse
by: Rangamani, Akshay, et al.
Published: (2026)
by: Rangamani, Akshay, et al.
Published: (2026)
Unsupervised Learning: Comparative Analysis of Clustering Techniques on High-Dimensional Data
by: Baligodugula, Vishnu Vardhan, et al.
Published: (2025)
by: Baligodugula, Vishnu Vardhan, et al.
Published: (2025)
Multi-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling
by: Zhao, Tianxiang, et al.
Published: (2024)
by: Zhao, Tianxiang, et al.
Published: (2024)
Concept-Based Unsupervised Domain Adaptation
by: Xu, Xinyue, et al.
Published: (2025)
by: Xu, Xinyue, et al.
Published: (2025)
Gradient Harmonization in Unsupervised Domain Adaptation
by: Huang, Fuxiang, et al.
Published: (2024)
by: Huang, Fuxiang, et al.
Published: (2024)
Federated Knowledge Recycling: Privacy-Preserving Synthetic Data Sharing
by: Lomurno, Eugenio, et al.
Published: (2024)
by: Lomurno, Eugenio, et al.
Published: (2024)
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning
by: Hiniduma, Kaveen, et al.
Published: (2025)
by: Hiniduma, Kaveen, et al.
Published: (2025)
Similar Items
-
Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
by: Reichart, Larissa, et al.
Published: (2025) -
Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning
by: Ünal, Ali Burak, et al.
Published: (2025) -
Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
by: Baykara, Cem Ata, et al.
Published: (2024) -
Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
by: Baykara, Cem Ata, et al.
Published: (2025) -
CECILIA: Comprehensive Secure Machine Learning Framework
by: Ünal, Ali Burak, et al.
Published: (2022)