PDCAT 2025: International Conference on Parallel and Distributed Computing, Applications and Technologies
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Día de Entrega:
2025-08-01
Fecha de Notificación:
2025-09-15
Fecha de Conferencia:
2025-11-22
Ubicación:
Gold Coast, Australia
Años:
26
CORE: b QUALIS: b2 Vistas: 63521 Seguidores: 28 Asistentes: 13
Solicitud de Artículos
PDCAT 2025 (International Conference on Parallel and Distributed Computing, Applications and Technologies) is a CORE B / QUALIS B2 conference held in Gold Coast, Australia on 2025-11-22. The paper submission deadline is 2025-08-01. Acceptance notifications are sent on 2025-09-15.
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We invite submissions of original and unpublished research on, but not limited to, the following topics: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