Zongpeng Li

Robust web service recommendation via quantile matrix factorization

2017

We study the problem of personalized Quality of Service (QoS) estimation for web services. State-of-the-art methods use matrix factorization or collaborative prediction to estimate web service response times and throughput for each user based on …

Resources Sharing in 5G Networks: Learning-Enabled Incentives and Coalitional Games

2019 · IEEE Systems Journal

Smart systems are often battery-constrained, and compete for resources from remote clouds, which results in high delay. Collaboratively sharing resource among neighbors in proximity is promising to control such delay for time-sensitive applications. Rather few …

An Online Learning Approach for Client Selection in Federated Edge Learning under Budget Constraint

2022

Federated learning (FL) has emerged as a new paradigm that enables distributed mobile devices to learn a global model collaboratively. Since mobile devices (a.k.a, clients) exhibit diversity in model training quality, client selection (CS) becomes …