14 citations · 67 across the 18 of their papers we have counts for
6 papers · 1 filter
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…
KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes
Chenggang Shan, Guan Wang, Yuanqing Xia +2
As Kubernetes becomes the infrastructure of the cloud-native era, the integration of workflow systems with Kubernetes is gaining more and more popularity. To our knowledge, workflo…
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…
On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods
Yuan Zhang, Yuanqing Xia, Yufeng Zhan
This paper addresses the real structured controllability, stabilizability, and stability radii (RSCR, RSSZR, and RSSR, respectively) of linear systems, which involve determining th…