Including but not limited to the following topics:
Topic 1: Machine Learning
Supervised Learning Deep Learning
Reinforcement Learning
Federated learning
Transfer learning
Representation learning
Multi-task learning
Adversarial training
Graph neural networks
Large model fine-tuning
Topic 2: Data Mining
Data mining algorithms
Knowledge discovery
Association analysis
Clustering and classification
Anomaly detection
Sequence pattern mining
Graph data mining
Spatial-temporal data mining
Stream data mining Recommendation System
Topic 3: Privacy Protection
Privacy Protection Data Mining
Differential Privacy
Secure Multi-party Computation
Homomorphic Encryption
Trusted Execution Environment
Privacy-Preserving Machine Learning
Data Anonymization
Machine Forgetting
Privacy Attacks and Defenses
Privacy Compliance