Title |
|---|
 DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning
for Edge DevicesNeural Information Processing Systems (NeurIPS), 2024 |
 Enhancing Accuracy-Privacy Trade-off in Differentially Private Split
LearningIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023 |
 C2PI: An Efficient Crypto-Clear Two-Party Neural Network Private
InferenceDesign Automation Conference (DAC), 2023 |
 HashVFL: Defending Against Data Reconstruction Attacks in Vertical
Federated LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 |
 Split Learning without Local Weight Sharing to Enhance Client-side Data
PrivacyIEEE Transactions on Dependable and Secure Computing (TDSC), 2022 |
 Combined Federated and Split Learning in Edge Computing for Ubiquitous
Intelligence in Internet of Things: State of the Art and Future DirectionsItalian National Conference on Sensors (INS), 2022 |
