Track Chair: Minquan Cheng, PhD, Professor
The School of Computer science and Engineering & School of Software, Guangxi Normal University, Guilin 541004, China.
The past decades have witnessed an explosion on data traffic due to the continuously increased intelligent devices (e.g., mobile devices and smart vehicles), enriched media content, high-quality data requirement, and increasing online time. However, under the limited communication resources, storage and computing capabilities, network, and protocols, as well as low-latency and privacy-sensitive applications, the ever-growing demand for connectivity and computing ability in 5G/6G network systems poses critical challenges on the effective processing of a large volume of data. To satisfy the QoS requirements of emerging applications, this track is to bring together techniques from optimization, information theory, combinatorial design theory, graph theory, coding theory, and networking to enable personalized, intelligent, scalable, and secure caching & computation for distributed edge networks. We believe that the high-quality contributions from the researchers in the field will advance the understanding of performance limits, closing the gap between theory and practice.
Topics of interest include, but are not limited to,
• Coded caching
• Distributed storage systems
• Distributed computing
• Computations and communications in distributed machine learning
• Computing offloading
• Computation networks
• Private and secure computation