Co-occurring keywords
Papers
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding
COLING 2024
Federated Learning For Heterogeneous Electronic Health Records Utilising Augmented Temporal Graph Attention Networks
AISTATS 2024
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
COLING 2024
Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning
WACV 2024