Fedhome: Cloud-edge based personalized federated learning for in-home health monitoring

Q Wu, X Chen, Z Zhou, J Zhang - IEEE Transactions on Mobile …, 2020 - ieeexplore.ieee.org
In-home health monitoring has attracted great attention for the ageing population worldwide.
With the abundant user health data accessed by Internet of Things (IoT) devices and recent …

Graph attention spatial-temporal network with collaborative global-local learning for citywide mobile traffic prediction

K He, X Chen, Q Wu, S Yu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With the rapid development of mobile cellular technologies and the increasing popularity of
mobile and Internet of Things (IoT) devices, timely mobile traffic forecasting with high …

semi-Traj2Graph identifying fine-grained driving style with GPS trajectory data via multi-task learning

C Chen, Q Liu, X Wang, C Liao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Driving behaviour understanding is of vital importance in improving transportation safety and
promoting the development of Intelligent Transportation Systems (ITS). As a long-standing …

Towards transmission-friendly and robust cnn models over cloud and device

C Ding, Z Lu, F Juefei-Xu, VN Boddeti… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Deploying deep convolutional neural network (CNN) models on ubiquitous Internet of
Things (IoT) devices has attracted much attention from industry and academia since it …

[HTML][HTML] Detection of anomalous vehicle trajectories using federated learning

C Koetsier, J Fiosina, JN Gremmel, JP Müller… - ISPRS Open Journal of …, 2022 - Elsevier
Nowadays mobile positioning devices, such as global navigation satellite systems (GNSS)
but also external sensor technology like cameras allow an efficient online collection of …

Sharing and caring of data at the edge

A Trivedi, L Wang, H Bal, A Iosup - 3rd USENIX Workshop on Hot Topics …, 2020 - usenix.org
Edge computing is an emerging computing paradigm where data is generated and
processed in the field using distributed computing devices. Many applications such as real …

Real-time tracking of smartwatch orientation and location by multitask learning

M Liu, S Yang, W Chomsin, W Du - … of the 20th ACM Conference on …, 2022 - dl.acm.org
Arm posture tracking is essential for many applications, such as gesture recognition, fitness
training, and motion-based controls. Smartwatches with Inertial Measurement Unit (IMU) …

[PDF][PDF] 边缘智能中的协同计算技术研究

张星洲, 鲁思迪, 施巍松 - 人工智能, 2019 - xingzhou.ac.cn
边缘智能中的协同计算技术研究 Page 1 55 边缘智能中的协同计算技术研究 中国科学院大学
计算技术研究所在读博士.研究方向是人工 智能,边缘计算,计算机系统.博士期间的研究项目主要 …

Driving maneuver anomaly detection based on deep auto-encoder and geographical partitioning

M Liu, K Yang, Y Fu, D Wu, W Du - ACM Transactions on Sensor …, 2023 - dl.acm.org
This paper presents GeoDMA, which processes the GPS data from multiple vehicles to
detect anomalous driving maneuvers, such as rapid acceleration, sudden braking, and rapid …

CARES: Context-aware trust estimation for realtime crowdsensing services in vehicular edge networks

SY Jang, SK Park, JH Cho, D Lee - ACM Transactions on Internet …, 2022 - dl.acm.org
The growing number of smart vehicles makes it possible to envision a crowdsensing service
where vehicles can share video data of their surroundings for seeking out traffic conditions …