Scope and Topics
We invite submissions of original and unpublished research on, but not limited to, the following
topics:
Networking and Architectures
- Parallel and distributed architectures
- Interconnection networks
- Heterogeneous and multimedia systems
- Reliability, availability, and fault tolerance
- Ubiquitous and pervasive computing systems
- ATM and high-speed networks
- Computer networks and optical networks
- Communication and telecommunication systems
- Wireless networks and mobile computing
- Internet of Things (IoT)
- Cloud and grid computing systems
- Edge and fog computing
- Reconfigurable computing architectures
Algorithms and Applications
- Artificial Intelligence algorithms
- Database systems and data mining
- Intelligent computing and neural networks
- Parallel and distributed algorithms
- Big data computing and analytics
- Distributed data and knowledge-based systems
- Image processing and computer graphics
- High-performance scientific computing
- Reconfigurable high-performance computing systems
- Resource allocation and management
- Network routing and communication algorithms
- Bioinformatics and computational biology
Software Systems and Technologies
- Task mapping and job scheduling
- Formal methods and programming languages
- Internet computing and applications
- Quantum computing and algorithms
- Image processing and computer vision
- Agent-based technologies
- Operating systems and system software
- Software tools and development environments
- Parallelizing compilers and optimization
- Web services and distributed applications
- Component-based software technologies
- Simulation, modeling, and visualization
Security and Privacy
- Distributed federated learning paradigms
- Quantum-enabled federated learning frameworks
- Privacy-preserving mechanisms for artificial intelligence
- Security of artificial intelligence systems
- Privacy-preserving crowd intelligence
- Attack and defense algorithms in federated learning
- Attack and defense strategies for edge computing
- Quantum-based defense mechanisms in federated learning paradigms
- Privacy-preserving computation techniques
- Database security and cloud security
- Access control, authorization, and biometric security
High-Performance Systems
- Operating systems for parallel and distributed systems
- High-performance computer arithmetic
- Memory hierarchy and caching
- Performance tuning, optimization, and profiling
- Human-computer interaction in parallel and distributed systems
- Photonic and quantum computing
- Media computing in parallel and distributed systems
- Software engineering for parallel and distributed systems
Big Data Management and Processing
- Massive data stream processing in cloud environments
- Graph analytics, social networks, and the semantic web
- Data systems for knowledge discovery, data mining, and machine learning
- Big data models and computational theory
- Crowdsourced and collaborative data management
- Distributed, decentralized, and parallel data management, including blockchain systems
- Processing and analytics for graphs, social networks, and semantic web data
- Security, privacy, and ethics in data and analytics
- Multi-source data processing and integration
- Deep learning models and applications