Search Results for author:
Found 4 papers, 1 papers with code
Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching
Model fusion is becoming a crucial component in the context of model-as-a-service scenarios, enabling the delivery of high-quality model services to local users.
Bridging the Gap: Learning Pace Synchronization for Open-World Semi-Supervised Learning
In open-world semi-supervised learning, a machine learning model is tasked with uncovering novel categories from unlabeled data while maintaining performance on seen categories from labeled data.
Novel Class Discovery
Open-World Semi-Supervised Learning
+1
Quantitative Method for Security Situation of the Power Information Network Based on the Evolutionary Neural Network
This study proposes a method for quantifying security situation of the power information network based on the evolutionary neural network.
Intelligent detect for substation insulator defects based on CenterMask
Based on the end-to-end learning paradigm, this paper proposes an intelligent detection method for substation insulator defects based on CenterMask.
