Recent Advances in Intelligent Distributed Computing and Its Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 May 2024) | Viewed by 5028
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recent years have witnessed a popular trend in applying artificial intelligence and machine learning techniques for distributed computing and its applications. Emerging AI techniques such as deep neural networks, reinforcement learning, graph neural networks, game theory, etc. have been shown to be effective in facilitating a wide range of distributed computing scenarios, such as big data processing and analysis, learning-based resource management, network optimization, smart sensing, social network analysis, etc. On the other hand, novel distributed computing paradigms such as distributed machine learning, federated learning, crowdsourcing, etc., also provide basic support for the rapid development and application of AI techniques. This Special Issue is dedicated to intelligent distributed computing and its applications, whose interests include but are not limited to the following topics:
- Intelligent resource management for cloud computing;
- Intelligent communication for network optimization;
- Learning-based network protocol design and application;
- Machine learning for multimedia systems;
- Adaptive video streaming systems;
- Big data processing and analysis;
- Social network analysis and applications;
- Graph neural networks and their applications;
- Federated learning;
- Smart sensing and smart sensing;
- AIoT—Artificial Intelligence of Things;
- Distributed machine learning methodology and systems.
Prof. Dr. Wenzhong Li
Guest Editor
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Keywords
- intelligent distributed computing
- learning-based resource management
- data-driven network optimization
- big data analysis
- social network analysis
- federated learning
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