On July 26, Professor Jie Wu, Chief Scientist of China Telecom and President of the Cloud Computing Research Institute was invited to attend the 1st CCF Distributed Computing Conference (CCF Computility, 2024) and the National Symposium on Open Distributed and Parallel Computing (DPCS 2024). The conference's theme is "Computing Networks: Distributed Systems in the Context of New-Quality Productive Forces." Jie Wu's invited talk, "Edge-Cloud Collaborative Networks for AI/ML," is delivered at the Intelligent Computing Technology Forum for Edge-Cloud Collaboration.
The conference was hosted by the China Computer Federation (CCF) and jointly organized by the CCF Technical Committee on Distributed Computing and Systems and Jilin University. Over 1,000 experts, scholars, researchers, and industry representatives in the field of distributed computing attended this event, including Academician Ninghui Sun from the Institute of Computing Technology, Chinese Academy of Sciences; Academician Jun Lin from Jilin University; Academician Huaimin Wang from National University of Defense Technology; Academician Weimin Zheng from Tsinghua University; and Academician Changjun Jiang from Tongji University. Participants engaged in in-depth discussions on the latest advancements in distributed computing and computing networks.
In his invited talk, Professor Jie Wu focused on the challenges of efficiently running AI/ML algorithms in edge-cloud collaborative networks, particularly emphasizing low latency, connectivity, local data processing, and implementation efficiency. The presentation explored two specific AI/ML implementation paradigms: (1) Optimally offloading AI/ML code from IoT/edge devices to the cloud. (2) Leveraging network topology and connectivity to enable efficient decentralized, federated learning. Professor Jie Wu's research and insights provided attendees with valuable academic and practical guidance. He also engaged in discussions with researchers, addressing key questions and fostering more profound exchanges and collaborations in the field.
As a key platform in distributed computing, this conference fostered technological advancements and strengthened industry-academia-research collaboration, injecting new momentum into the industry and society. In the future, China Telecom's Cloud Computing Research Institute will continue to drive innovation and interdisciplinary cooperation, advancing intelligent computing technologies and making more significant contributions to digital transformation in the new era.
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On July 26, Professor Jie Wu, Chief Scientist of China Telecom and President of the Cloud Computing Research Institute was invited to attend the 1st CCF Distributed Computing Conference (CCF Computility, 2024) and the National Symposium on Open Distributed and Parallel Computing (DPCS 2024). The conference's theme is "Computing Networks: Distributed Systems in the Context of New-Quality Productive Forces." Jie Wu's invited talk, "Edge-Cloud Collaborative Networks for AI/ML," is delivered at the Intelligent Computing Technology Forum for Edge-Cloud Collaboration.
The conference was hosted by the China Computer Federation (CCF) and jointly organized by the CCF Technical Committee on Distributed Computing and Systems and Jilin University. Over 1,000 experts, scholars, researchers, and industry representatives in the field of distributed computing attended this event, including Academician Ninghui Sun from the Institute of Computing Technology, Chinese Academy of Sciences; Academician Jun Lin from Jilin University; Academician Huaimin Wang from National University of Defense Technology; Academician Weimin Zheng from Tsinghua University; and Academician Changjun Jiang from Tongji University. Participants engaged in in-depth discussions on the latest advancements in distributed computing and computing networks.
In his invited talk, Professor Jie Wu focused on the challenges of efficiently running AI/ML algorithms in edge-cloud collaborative networks, particularly emphasizing low latency, connectivity, local data processing, and implementation efficiency. The presentation explored two specific AI/ML implementation paradigms: (1) Optimally offloading AI/ML code from IoT/edge devices to the cloud. (2) Leveraging network topology and connectivity to enable efficient decentralized, federated learning. Professor Jie Wu's research and insights provided attendees with valuable academic and practical guidance. He also engaged in discussions with researchers, addressing key questions and fostering more profound exchanges and collaborations in the field.
As a key platform in distributed computing, this conference fostered technological advancements and strengthened industry-academia-research collaboration, injecting new momentum into the industry and society. In the future, China Telecom's Cloud Computing Research Institute will continue to drive innovation and interdisciplinary cooperation, advancing intelligent computing technologies and making more significant contributions to digital transformation in the new era.
