28 citations · 64 across the 5 of their papers we have counts for
4 papers · 1 filter
EdgeMatrix: A Resource-Redefined Scheduling Framework for SLA-Guaranteed Multi-Tier Edge-Cloud Computing Systems
Shihao Shen, Yuanming Ren, Yanli Ju +3
With the development of networking technology, the computing system has evolved towards the multi-tier paradigm gradually. However, challenges, such as multi-resource heterogeneity…
When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework
Xinjing Yuan, Lingjun Pu, Lei Jiao +3
In this paper, we advocate CPN-FedSL, a novel and flexible Federated Split Learning (FedSL) framework over Computing Power Network (CPN). We build a dedicated model to capture the…
Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network
Shihao Shen, Yiwen Han, Xiaofei Wang +2
Kubernetes (k8s) has the potential to coordinate distributed edge resources and centralized cloud resources, but currently lacks a specialized scheduling framework for edge-cloud n…
Building Resilient Web 3.0 with Quantum Information Technologies and Blockchain: An Ambilateral View
Xiaoxu Ren, Minrui Xu, Dusit Niyato +4
Web 3.0 pursues the establishment of decentralized ecosystems based on blockchain technologies to drive the digital transformation of physical commerce and governance. Through cons…