The 25th International Conference on Algorithms and Architectures for Parallel Processing

Zhengzhou, Henan, China

October 30 - November 02, 2025

Workshops

ANNA: Workshop on AI for Networks and Networking for AI
Synopsis: Artificial intelligence (AI) has emerged as a potent instrument within the domain of network systems. It assumes a pivotal role in intricate tasks spanning data center networking, time-sensitive networking, industrial networking, cloud-edge computing, the Internet of Things, and next-generation cellular wireless networks, and has precipitated a fundamental transformation in the design methodologies across all layers of the protocol stack. On the other hand, the backend AI training clusters necessitate an entirely new approach to network construction to effectively manage the traffic generated by distributed GPUs. Hence, the network design should feature deterministic delays and lossless deep buffering mechanisms, for which are crucial for mitigating unwanted congestion and ensuring the smooth and efficient operation of the AI training environment. This workshop endeavors to assemble experts from the fields of networks and AI for facilitating the dissemination of cutting-edge research findings in the areas of "AI for networks" and "Networking for AI".

Chairs:
  • Jiawei Huang, Central South University, China
  • Tao Zhang, Changsha University, China
  • Jinbin Hu, Changsha University of Science and Technology, China
  • Sen Liu, Fudan University, China

  • ENCon: Workshop on Emerging Network Technologies in Computing and Networking Convergence
    Synopsis: In the digital economy era, emerging technologies like artificial intelligence (AI), big data, the Internet of Things (IoT), and fifth-generation mobile communication technology (5G) are rapidly advancing. This has spurred diverse business scenarios including smart cities, smart transportation, smart education, and smart healthcare, driving unprecedented demand for Computing Power Networks (CPN). Moreover,computing and Networking Convergence (CNC) focuses on integrating “computing power” and “networking” through unified orchestration, intelligent scheduling, and joint optimization of heterogeneous computing and network resources via global collaborative scheduling mechanisms. While CNC’s importance as an emerging network architecture and system is widely recognized, its key technologies remain in the exploratory phase. The aim of this workshop is to collate original research and review articles discussing the state of the art in the field. We hope that this workshop will provide a forum for researchers and practitioners in all aspects of emerging network technologies in CNC.

    Chairs:
  • Yuanlong Cao, Jiangxi Normal University, China
  • Yirui Jiang, Cranfield University, UK
  • Xun Shao, Toyohashi University of Technology, Japan
  • Giselle Lugo Miole, United Nation University, Japan
  • Mo Fan, Cambridge University, UK

  • IDC: Workshop on Intelligent Distributed Computing
    Synopsis: Following the widespread adoption of distributed computing in fields like big data and cloud computing, researchers are advancing paradigms for intelligent distributed computing to meet new demands of AI-driven applications. To achieve enhanced computational efficiency and stringent data privacy, novel approaches (e.g., intelligent resource scheduling, federated learning, and privacy-preserving architectures) have emerged as foundations for next-generation systems. However, these approaches require adaptive optimization and secure multi-node coordination, thereby posing significant challenges for scalability and robustness in AI-integrated environments. To address such challenges, the integration of artificial intelligence techniques (e.g., multi-agent reinforcement learning, decentralized optimization, and AI-driven security mechanisms) offers transformative design pathways. Therefore, the synergy of AI and distributed computing is critical for enabling efficient, secure, and scalable intelligent computational platforms.

    Chairs:
  • Xin Xie, Tianjin University, China
  • Yuan Yao, Northwestern Polytechnical University, China
  • Yu Li, Hangzhou Dianzi University, China

  • RCJO: Workshop on Resource Coordination and Joint Optimization in Cloud-Edge-End Systems
    Synopsis: This workshop focuses on the emerging challenges and innovative solutions in cloud-edge-end (CEE) collaboration for efficient resource coordination and joint optimization. With advancements in cloud computing, edge computing, and terminal devices, the workshop invites contributions on resource coordination, computational and network optimization, and distributed system designs. Experts, scholars, and industry professionals will discuss real-time requirements, bandwidth constraints, latency, and data security within dynamic cloud-edge-end environments. The goal is to explore new technologies, methodologies, and applications for enhancing the coordination and optimization of resources in CEE systems.

    Chairs:
  • Zhou Zhou, Changsha University, China
  • Zhenli He, Yunnan University, China
  • Jing Liu, Wuhan University of Science and Technology, China
  • Yuan Liu, xiangtan university, China

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