会议信息

PDCAT 2025: International Conference on Parallel and Distributed Computing, Applications and Technologies

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截稿日期:
2025-08-01
通知日期:
2025-09-15
会议日期:
2025-11-22
会议地点:
Gold Coast, Australia
届数:
26
CORE: b   QUALIS: b2   浏览: 64484   关注: 28   参加: 13

征稿

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Scope and Topics We invite submissions of original and unpublished research on, but not limited to, the following topics: Networking and Architectures Parallel and distributed architectures Interconnection networks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
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