35 citations · 47 across the 11 of their papers we have counts for
4 papers · 1 filter
Digital Twin-assisted Reinforcement Learning for Resource-aware Microservice Offloading in Edge Computing
Xiangchun Chen, Jiannong Cao, Zhixuan Liang +2
Collaborative edge computing (CEC) has emerged as a promising paradigm, enabling edge nodes to collaborate and execute microservices from end devices. Microservice offloading, a fu…
ENTS: An Edge-native Task Scheduling System for Collaborative Edge Computing
Mingjin Zhang, Jiannong Cao, Lei Yang +3
Collaborative edge computing (CEC) is an emerging paradigm enabling sharing of the coupled data, computation, and networking resources among heterogeneous geo-distributed edge node…
EaaS: A Service-Oriented Edge Computing Framework Towards Distributed Intelligence
Mingjin Zhang, Jiannong Cao, Yuvraj Sahni +3
Edge computing has become a popular paradigm where services and applications are deployed at the network edge closer to the data sources. It provides applications with outstanding…
E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI
Lei Yang, Yanyan Lu, Jiannong Cao +2
Traditionally, AI models are trained on the central cloud with data collected from end devices. This leads to high communication cost, long response time and privacy concerns. Rece…