14 citations · 27 across the 5 of their papers we have counts for
6 papers
Workflow-based Fast Data-driven Predictive Control with Disturbance Observer in Cloud-edge Collaborative Architecture
Runze Gao, Qiwen Li, Li Dai +2
Data-driven predictive control (DPC) has been studied and used in various scenarios, since it could generate the predicted control sequence only relying on the historical input and…
Zero-Norm Distance to Controllability of Linear Systems: Complexity, Bounds, and Algorithms
Yuan Zhang, Yuanqing Xia, Yufeng Zhan +1
Determining the distance between a controllable system to the set of uncontrollable systems, namely, the controllability radius problem, has been extensively studied in the past. H…
A Coalition Formation Game Approach for Personalized Federated Learning
Leijie Wu, Song Guo, Yaohong Ding +2
Facing the challenge of statistical diversity in client local data distribution, personalized federated learning (PFL) has become a growing research hotspot. Although the state-of-…
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
Yongkang Wang, Dihua Zhai, Yufeng Zhan +1
Federated learning (FL) is a distributed machine learning paradigm where enormous scattered clients (e.g. mobile devices or IoT devices) collaboratively train a model under the orc…
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
Tijin Yan, Hongwei Zhang, Tong Zhou +2
Multivariate time series prediction has attracted a lot of attention because of its wide applications such as intelligence transportation, AIOps. Generative models have achieved im…
Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach
Yufeng Zhan, Yuanqing Xia, Jiang Zhang +2
Currently, explosive increase of smartphones with powerful built-in sensors such as GPS, accelerometers, gyroscopes and cameras has made the design of crowdsensing applications pos…