Privacy-Preserving Federated Learning for Science: Challenges and Research Directions Conference Paper December, 2024
SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks Conference Paper December, 2024
Improving Robustness of Spectrogram Classifiers with Neural Stochastic Differential Equations Conference Paper November, 2024
MDLoader: A Hybrid Model-Driven Data Loader for Distributed Graph Neural Network Training Conference Paper November, 2024
Privacy by Design in Distributed Edge Systems: Innovating Secure Workflows for Smart Cities Journal October, 2024
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Journal September, 2024
