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High scalability represents a kind of elasticity, which can guarantee high throughput, small delay, and high performance. Scalable computing and communications are particularly crucial in fields such as artificial intelligence, big data processing, and scientific computing, where large-scale data processing or complex computational tasks are common. To boost scalability, it's vital to utilize supportive tools & platforms, and high-performance communications & networking technologies. Additionally, optimizing algorithms and models are essential for efficiently managing increasing workloads and data volumes. Moreover, with the development of AI large model technology, scalable intelligent computing systems are also very important for creating intelligent environments, services and applications. The 25th IEEE International Conference on Scalable Computing and Communications (ScalCom 2025) will include a highly selective program of technical papers, panel discussions and keynote speeches. We welcome high quality papers that describe original and unpublished research advancing the state of the art in scalable communication & networks. Topics for submissions include but are not limited to the following theory, technology, and applications. IEEE ScalCom 2025 Tracks and Topics Track 1: Tools & Platforms for Supporting Scalability Parallel and Distributed Programming Tools Cloud Programming Tools Cloud Infrastructure Management Edge-Cloud Collaborative Computing Platforms Large-scale Heterogeneous Computing Systems Fault-tolerance in Large Scale Applications Scalable Serverless Systems Scalable Federated Computing Distributed Database Scalable Blockchain System Track 2: Scalable Communication & Networks High-Performance Network Protocols for Scalability Scalability Solutions for Internet of Things (IoT) Networks Scalable Architectures for 5G/6G Networks Energy-Efficient and Scalable Wireless Communication Systems Machine Learning and AI for Network Optimization and Scalability Cross-Layer Design for Enhanced Scalability in Networks Security and Privacy in Scalable Networks Track 3: Scalable Algorithms & Models Parallel & Distributed Programming Models Distributed Programming Models Edge-Cloud Collaborative Computing Models Scalable Machine Learning Algorithms Efficient Deep Learning Architectures for Scalability Efficient Algorithms for Distributed Data Storage and Retrieval Energy-Efficient Algorithms for Scalable Computing Scalable Algorithms for Real-Time Big Data Analytics Scalable Graph Processing Algorithms Track 4: Scalability in Large-scale AI Cloud and Edge Computing for AI Parallel and Distributed Computing for AI Efficient Training Strategies for Large-Scale AI Models AI Model Compression and Quantization Energy-efficient Computing for Scalable AI Model and Data Parallelism Deploying Large Scale AI Resource Management for AI Workloads Security and Privacy in Scalable AI Systems Federated Learning for AI</pre><div class="alert alert-warning"> Last updated by <a href="/researcher/1">Dou Sun</a> in 2025-02-04</div> </div> </div>  <div class="portlet" id="yw2"> <div class="portlet-decoration"> <div class="portlet-title"><i class="icon icon-th"></i> Related Conferences</div> </div> <div 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