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(ICWS 2025) A Federated Deep Reinforcement-Learning-based Method for User-interest-informed Dynamic Caching in Mobile Edge Computing

About This Webinar

To meet the rapidly growing demands for services and applications in Mobile Edge Computing (MEC) environments, there is an increasing need to alleviate backhaul network pressure and enhance user experience. However, the dynamic nature of user mobility, fluctuating content popularity, and varying interest similarities within and across user communities pose significant challenges in designing efficient caching strategies. To address these challenges, this paper proposes a user interest-informed edge caching method by using a dynamic User-interest-based Clustring Caching (UCC) model. The proposed framework includes an improved density-based spatial clustering algorithm which employs the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm and a caching decision algorithm which adopts a federated deep reinforcement learning model for yielding high-quality and dynamic caching schedules. Experiments based on real-world urban taxi datasets and user interest datasets clearly demonstrates that the proposed method outperforms several existing algorithms across multiple performance metrics.

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Building the Modern Services Industry
The Services Society (S2) is a non-profit professional organization that has been created to promote worldwide research and technical collaboration in services innovations among academia and industrial professionals. Its members are volunteers from industry and academia with common interests. S2 is registered in the USA as a "501(c) organization", which means that it is an American tax-exempt nonprofit organization. S2 collaborates with other professional organizations to sponsor or co-sponsor conferences and to promote an effective services curriculum in colleges and universities. The S2 initiates and promotes a "Services University" program worldwide to bridge the gap between industrial needs and university instruction. The Services Society has formed 10 Special Interest Groups (SIGs) to support technology and domain specific professional activities.
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