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cs.LG2024
HeteroSample: Meta-path Guided Sampling for Heterogeneous Graph Representation Learning
Ao Liu, Jing Chen, Ruiying Du +4
The rapid expansion of Internet of Things (IoT) has resulted in vast, heterogeneous graphs that capture complex interactions among devices, sensors, and systems. Efficient analysis…
cs.LG2024
An Efficient Privacy-aware Split Learning Framework for Satellite Communications
Jianfei Sun, Cong Wu, Shahid Mumtaz +4
In the rapidly evolving domain of satellite communications, integrating advanced machine learning techniques, particularly split learning, is crucial for enhancing data processing…
cs.LG2024
Privacy-preserving Universal Adversarial Defense for Black-box Models
Qiao Li, Cong Wu, Jing Chen +6
Deep neural networks (DNNs) are increasingly used in critical applications such as identity authentication and autonomous driving, where robustness against adversarial attacks is c…