A5102759623- Adversarial Robustness in Machine Learning
- Manufacturing Process and Optimization
- Neural Networks and Applications
- Music and Audio Processing
- Music Technology and Sound Studies
- Video Analysis and Summarization
Beijing Institute of Technology
2025
With the rapid advancement of artificial intelligence technology, usage machine learning models is gradually becoming part our daily lives. High-quality rely not only on efficient optimization algorithms but also training and processes built upon vast amounts data computational power. However, in practice, due to various challenges such as limited resources privacy concerns, users need often cannot train locally. This has led them explore alternative approaches outsourced federated learning....
The process of categorizing music users without the need for explicit guidance, known as unsupervised learning, has been explored through a technique called clustering. This innovative approach involves use algorithms to group based on their preferences, behaviors, or other relevant characteristics, thereby uncovering patterns and structures within consumption landscape. By identifying distinct clusters users, this method facilitates creation personalized recommendations, targeted marketing...