(The following topics include but are not limited to)
Topic 1: Machine Learning
Federated Learning and Privacy Protection
Automatic Machine Learning
Meta learning and few sample learning
Explainable artificial intelligence
Reinforcement learning algorithm
Image machine learning
Optimization of Machine Learning Systems
Progress in Machine Learning Theory
Topic 2: Distributed Systems
Distributed Storage and Database
Distributed Consistency Algorithm
Microservices and containerization
Edge computing architecture
Distributed transaction processing
Fault tolerance and high availability
System performance monitoring
Secure and Trusted Distributed System
Topic 3: Grid Computing
Grid Resource Management and Scheduling
Grid middleware and tools
Scientific Workflow and Computational Grid
Data Grid and Storage Grid
Grid Security and Identity Management
Grid Services and Virtual Organizations
Application Cases of Grid Computing
Integration of Grid and Cloud Computing