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• Scaling Unsupervised Multi-Source Federated Domain Adaptation through Group-Wise Discrepancy Minimization
  2025
• Accurate and Private Diagnosis of Rare Genetic Syndromes from Facial Images with Federated Deep Learning
  2025
• Federated Learning for Epileptic Seizure Prediction Across Heterogeneous EEG Datasets
  2025
• Privacy-Preserving Federated Unsupervised Domain Adaptation for Regression on Small-Scale and High-Dimensional Biological Data
  2024
• Enabling Privacy-preserving Model Evaluation in Federated Learning via Fully Homomorphic Encryption
  2024