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08/20/2023
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning–Technical Report
Federated learning (FL) enables collaborative model training among distr...
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01/20/2023
Adaptive Resource Allocation for Workflow Containerization on Kubernetes
In a cloud-native era, the Kubernetes-based workflow engine enables work...
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01/01/2023
Encrypted Data-driven Predictive Cloud Control with Disturbance Observer
In data-driven predictive cloud control tasks, the privacy of data store...
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09/16/2022
Workflow-based Fast Data-driven Predictive Control with Disturbance Observer in Cloud-edge Collaborative Architecture
Data-driven predictive control (DPC) has been studied and used in variou...
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07/04/2022
KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes
As Kubernetes becomes the infrastructure of the cloud-native era, the in...
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01/11/2022
RFLBAT: A Robust Federated Learning Algorithm against Backdoor Attack
Federated learning (FL) is a distributed machine learning paradigm where...
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12/29/2021
Fast Subspace Identification Method Based on Containerised Cloud Workflow Processing System
Subspace identification (SID) has been widely used in system identificat...
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12/20/2021
TFDPM: Attack detection for cyber-physical systems with diffusion probabilistic models
With the development of AIoT, data-driven attack detection methods for c...
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12/20/2021
DMS-GCN: Dynamic Mutiscale Spatiotemporal Graph Convolutional Networks for Human Motion Prediction
Human motion prediction is an important and challenging task in many com...
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07/04/2021
AdaL: Adaptive Gradient Transformation Contributes to Convergences and Generalizations
Adaptive optimization methods have been widely used in deep learning. Th...
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06/18/2021
ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models
Multivariate time series prediction has attracted a lot of attention bec...
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09/01/2020
Stochastic Graph Recurrent Neural Network
Representation learning over graph structure data has been widely studie...
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12/08/2018
Crowdsensing Game with Demand Uncertainties: A Deep Reinforcement Learning Approach
Currently, explosive increase of smartphones with powerful built-in sens...
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11/23/2018
A Novel Learning-based Global Path Planning Algorithm for Planetary Rovers
Autonomous path planning algorithms are significant to planetary explora...
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08/25/2018