A federated learning system with enhanced feature extraction for human activity recognition
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A federated learning system with enhanced feature extraction for human activity recognition
Authors
Keywords
Deep learning, Feature extraction, Federated learning, Human activity recognition, Wearable sensors
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 229, Issue -, Pages 107338
Publisher
Elsevier BV
Online
2021-07-28
DOI
10.1016/j.knosys.2021.107338
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- RTFN: A robust temporal feature network for time series classification
- (2021) Zhiwen Xiao et al. INFORMATION SCIENCES
- Collaborative learning based on centroid-distance-vector for wearable devices
- (2020) Dequn Kong et al. KNOWLEDGE-BASED SYSTEMS
- A knowledge-light approach to personalised and open-ended human activity recognition
- (2020) Anjana Wijekoon et al. KNOWLEDGE-BASED SYSTEMS
- Highly efficient federated learning with strong privacy preservation in cloud computing
- (2020) Chen Fang et al. COMPUTERS & SECURITY
- Computation offloading in Edge Computing environments using Artificial Intelligence techniques
- (2020) Gonçalo Carvalho et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Federated and secure cloud services for building medical image classifiers on an intercontinental infrastructure
- (2020) Ignacio Blanquer et al. Future Generation Computer Systems-The International Journal of eScience
- A Many-Objective Optimization Model of Industrial Internet of Things Based on Private Blockchain
- (2020) Bin Cao et al. IEEE NETWORK
- The fusion of Internet of Intelligent Things (IoIT) in remote diagnosis of obstructive Sleep Apnea: A survey and a new model
- (2020) Mohamed Abdel-Basset et al. Information Fusion
- A review and categorization of techniques on device-free human activity recognition
- (2020) Zawar Hussain et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A Comparative Analysis of Hybrid Deep Learning Models for Human Activity Recognition
- (2020) Saedeh Abbaspour et al. SENSORS
- A survey on security and privacy of federated learning
- (2020) Viraaji Mothukuri et al. Future Generation Computer Systems-The International Journal of eScience
- A survey on wearable sensor modality centred human activity recognition in health care
- (2019) Yan Wang et al. EXPERT SYSTEMS WITH APPLICATIONS
- MCS-Chain: Decentralized and trustworthy mobile crowdsourcing based on blockchain
- (2019) Wei Feng et al. Future Generation Computer Systems-The International Journal of eScience
- Patient Clustering Improves Efficiency of Federated Machine Learning to Predict Mortality and Hospital Stay Time Using Distributed Electronic Medical Records
- (2019) Li Huang et al. JOURNAL OF BIOMEDICAL INFORMATICS
- A light weight smartphone based human activity recognition system with high accuracy
- (2019) Md Osman Gani et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Modified deep residual network architecture deployed on serverless framework of IoT platform based on human activity recognition application
- (2019) Alireza Keshavarzian et al. Future Generation Computer Systems-The International Journal of eScience
- On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning
- (2019) Zahid Halim et al. Information Fusion
- Adaptive sliding window based activity recognition for assisted livings
- (2019) Congcong Ma et al. Information Fusion
- Privacy-aware service placement for mobile edge computing via federated learning
- (2019) Yongfeng Qian et al. INFORMATION SCIENCES
- A Novel IoT-Perceptive Human Activity Recognition (HAR) Approach Using Multihead Convolutional Attention
- (2019) Haoxi Zhang et al. IEEE Internet of Things Journal
- Mobile Internet of Things Under Data Physical Fusion Technology
- (2019) Zhihan Lv et al. IEEE Internet of Things Journal
- Interaction of Edge-Cloud Computing Based on SDN and NFV for Next Generation IoT
- (2019) Zhihan Lv et al. IEEE Internet of Things Journal
- A robust human activity recognition system using smartphone sensors and deep learning
- (2018) Mohammed Mehedi Hassan et al. Future Generation Computer Systems-The International Journal of eScience
- A Hybrid Hierarchical Framework for Gym Physical Activity Recognition and Measurement Using Wearable Sensors
- (2018) Jun Qi et al. IEEE Internet of Things Journal
- Locomotion Activity Recognition Using Stacked Denoising Autoencoders
- (2018) Fuqiang Gu et al. IEEE Internet of Things Journal
- A Multiview Discriminant Feature Fusion-Based Nonlinear Process Assessment and Diagnosis: Application to Medical Diagnosis
- (2018) Anil Hazarika et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Wearable Computing for Internet of Things: A Discriminant Approach for Human Activity Recognition
- (2018) Wei Lu et al. IEEE Internet of Things Journal
- Fuzzy system based human behavior recognition by combining behavior prediction and recognition
- (2017) Ganbayar Batchuluun et al. EXPERT SYSTEMS WITH APPLICATIONS
- Efficient and privacy-aware multi-party classification protocol for human activity recognition
- (2017) Zakaria Gheid et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Device free localization technology for human detection and counting with RF sensor networks: A review
- (2017) Shaufikah Shukri et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Active and adaptive ensemble learning for online activity recognition from data streams
- (2017) Bartosz Krawczyk KNOWLEDGE-BASED SYSTEMS
- Robust human activity recognition from depth video using spatiotemporal multi-fused features
- (2017) Ahmad Jalal et al. PATTERN RECOGNITION
- Hand action detection from ego-centric depth sequences with error-correcting Hough transform
- (2017) Chi Xu et al. PATTERN RECOGNITION
- Improving Activity Recognition Accuracy in Ambient-Assisted Living Systems by Automated Feature Engineering
- (2017) Eftim Zdravevski et al. IEEE Access
- Device-Free RF Human Body Fall Detection and Localization in Industrial Workplaces
- (2017) Sanaz Kianoush et al. IEEE Internet of Things Journal
- Mobile big data analytics using deep learning and apache spark
- (2016) Mohammad Abu Alsheikh et al. IEEE NETWORK
- A knowledge-based resource discovery for Internet of Things
- (2016) Charith Perera et al. KNOWLEDGE-BASED SYSTEMS
- Privacy-Preserving Detection of Sensitive Data Exposure
- (2015) Xiaokui Shu et al. IEEE Transactions on Information Forensics and Security
- A framework for collaborative computing and multi-sensor data fusion in body sensor networks
- (2015) Giancarlo Fortino et al. Information Fusion
- Sensor-based human activity recognition system with a multilayered model using time series shapelets
- (2015) Li Liu et al. KNOWLEDGE-BASED SYSTEMS
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Sensor-Based Activity Recognition
- (2012) Liming Chen et al. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started