The 26th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2025) will be held in Gold Coast, Australia. Since its inception in Hong Kong in 2000, PDCAT has established itself as a premier international forum for scientists, engineers, and practitioners to share the latest advances, research results, innovative ideas, developments, and applications in the fields of parallel and distributed computing. Over the past 25 years, PDCAT has been successfully hosted in numerous cities across Asia-Oceania, including locations in Japan, China, Singapore, Australia, New Zealand, and Korea. PDCAT 2025 continues this tradition, providing an engaging platform for fostering collaboration, disseminating cutting-edge research, and exploring emerging trends in parallel and distributed computing and their applications across diverse domains. We warmly welcome researchers and professionals worldwide to join us on the beautiful Gold Coast for this exciting event.

Conference Format: The conference will be held in person, with support for virtual attendance via live online presentations.

We look forward to your valuable contribution and active participation. All accepted and presented papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. Selected papers presented at the conference will be invited for extended publication in special issues of SCI-indexed journals. Tentative List of Journals:
    • Tsinghua Science and Technology (Impact Factor: 5.2)
    • Human-centric Computing and Information Sciences (Impact Factor: 3.9)
    • Computers and Electrical Engineering (Impact Factor: 4.0)
    • CCF Transactions on High Performance Computing (Impact Factor: 1.3)

We invite submissions of original and unpublished research on, but not limited to, the following topics:

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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