(The following topics include but are not limited to)
Track 1: Artificial Intelligence
Artificial Intelligence Technology and Applications
The Basic Theory and Applications of Artificial Intelligence
Intelligent and Knowledge-based Systems
Intelligence and Artificial Intelligence Control Machine Learning
Machine learning processing
Artificial intelligence algorithms
Artificial intelligence tools and applications
Knowledge science and knowledge engineering
Machine learning and data mining
Machine perception and virtual reality
Neural networks and deep learning
Track 2: Privacy and Security
Privacy-preserving machine learning and federated learning
Differential privacy theory and applications
Homomorphic encryption and secure multi-party computation
Adversarial attacks and robustness enhancement
Trustworthy AI and algorithm interpretability
Data de-identification and anonymization techniques
AI model theft and defense mechanisms
Privacy compliance and legal regulations adaptation
Privacy risk assessment and management framework
User privacy preferences and controlled disclosure
Privacy protection in edge intelligence
AI ethics and privacy governance system
Track 3: Distributed Signal Processing
Distributed detection and estimation theory
Sensor network collaborative signal processing
Graph signal processing and network analysis
Distributed compressed sensing and reconstruction
Multi-agent collaborative filtering
Distributed adaptive learning algorithms
Asynchronous distributed optimization methods
Wireless communication and signal processing integration
Edge computing signal processing architecture
Distributed acoustic/visual signal analysis
Resource-constrained distributed processing
Performance evaluation of distributed processing systems ......