53 citations · 303 across the 27 of their papers we have counts for
4 papers · 1 filter
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…
MLLS: Minimum Length Link Scheduling Under Physical Interference Model
Xiaohua Xu, Jiannong Cao, Xiang-Yang Li
We study a fundamental problem called Minimum Length Link Scheduling (MLLS) which is crucial to the efficient operations of wireless networks. Given a set of communication links of…