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BigCom 2026: International Conference on Big Data Computing and Communications

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投稿締切日:
2026-06-05
通知日:
2026-06-30
開催日:
2026-08-14
開催地:
Beijing, China
開催回数:
12
閲覧: 93550   フォロー: 30   参加: 15

論文募集

BigCom 2026 (International Conference on Big Data Computing and Communications) is an academic conference held in Beijing, China on 2026-08-14. The paper submission deadline is 2026-06-05. Acceptance notifications are sent on 2026-06-30.

Big Data lies at the center of modern science and technology, with major advances in analyzing & learning from Big Data concurrently reshaping human knowledge, society, and economy. The overwhelming amounts of data generated in many applications (fundamental sciences, cyber-physical systems, smart cities, sensor networks, and many more) alongside the urge for fast and effective handling and decision-making, in real-time, pose a number of significant challenges on the underlying system design and methods. The 12th International Conference on Big Data Computing and Communications (BigCom2026), which is to be held on AUG. 14-16, 2026 in Beijing, China. The conference aims to attract researchers and practitioners with interest in the theme of Big Data, in its broadest sense: analytics, management, security and privacy, communications, and high-performance computing. We welcome original, unpublished research papers that emphasize theoretical foundations, modeling, algorithmic methodologies, and data-driven applications in science and engineering. We also welcome visionary papers on new and emerging topics. The related topics include but are not limited to: Track 1. Architecture and Systems for Big Data Architecture for Big Data Processing, Storage, and Visualization Storage, and Parallel Processing Systems for Big Data Resource Management, Scheduling, and Caching Systems for Big Data Architecture and Systems for Big Data Applications Track 2. Algorithms for Big Data Mathematical Modeling for Efficient Big Data Management Combinatorial Optimization Algorithms in Big Data Processing Application of Deep Learning Algorithms in Big Data Parallel and Distributed Algorithms for High-Performance Big Data System Streaming Algorithms for Big Data Security and Privacy Protection Track 3. AI for Big Data Al models and algorithms such as large language models, neural networks AI for Multi-modality data processing techniques such as text, image, time series, graph, audio AI for big data applications such as healthcare, e-commerce, finance, education, etc. Track 4. Security and Privacy for Big Data Privacy & Security in Artificial Intelligence Privacy & Security in Mobile and Wireless Communications Privacy and Security in Big Data Privacy and Security in Large Model Track 5. Communication and Networking for Big Data Intelligent Networking for Big Data Data-driven Industrial Internet of Things Network Architecture for Big Data Systems Network Security for Big Data All the regular papers will be considered for the Best Paper Award.
最終更新：Dou Sun（）

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関連ジャーナル

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