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22 novembre - 24 novembre 2025

Classement: C (CORE2023)Offline

International Conference on Parallel and Distributed Computing, Applications and Technologies

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The 26th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2025) will be held in Gold Coast, Australia from November 22-24, 2025. The conference offers both in-person and virtual attendance options. Accepted and presented papers will be published in Springer's Lecture Notes in Computer Science (LNCS) series, with selected papers invited for extended publication in SCI-indexed journals.

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Call for Papers

The 26th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2025) invites submissions of original and unpublished research. The conference will be held in Gold Coast, Australia from November 22-24, 2025.

The conference format includes in-person attendance with support for virtual attendance via live online presentations.

Important Dates

All deadlines are based on Australian Eastern Standard Time (AEST), at midnight on the specified date.

  • Paper Submission Deadline: 1 August 2025
  • Notification of Acceptance: 15 September 2025
  • Camera-Ready Submission Deadline: 30 September 2025
  • Conference Dates: 22 – 24 November 2025

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We invite submissions of original and unpublished research on, but not limited to, the following topics: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

Publication

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, including:

  • 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)

Submission Information

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Dates importantes

Dates de la conférence

Conference Date

22 novembre 202524 novembre 2025

Soumission

Paper Submission Deadline

1 août 2025

Notification

Notification of Acceptance

15 septembre 2025

Version finale

Camera-Ready Submission Deadline

30 septembre 2025

Classement source

Source: CORE2023

Classement: C

Domaine de recherche: Distributed computing and systems software

Carte

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