PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping
Conference Proceeding
Wang, Z., Liu, Q., & Liu, X. (2023)
PFL-LDG: Privacy-preserving Federated Learning via Lightweight Device Grouping. In 2023 IEEE Smart World Congress (SWC). https://doi.org/10.1109/SWC57546.2023.10449141
The rapid growth of private data from distributed edge networks, driven by the proliferation of IoT sensors, wearable devices, and smartphones, offers significant opportunitie...
A Fast Classification Approach to Upper-Limb Posture Recognition
Conference Proceeding
Wu, X., Jiang, Y., Liu, Q., Wu, H., & Liu, X. (2020)
A Fast Classification Approach to Upper-Limb Posture Recognition. In 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). https://doi.org/10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics50389.2020.00118
A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme
Conference Proceeding
Liu, X., Liu, Q., Zou, Y., & Liu, Q. (2020)
A LSTM-Based Approach to Haze Prediction Using a Self-organizing Single Hidden Layer Scheme. In Security with Intelligent Computing and Big-data Services (701-706). https://doi.org/10.1007/978-3-030-16946-6_57
The air quality in urban areas seriously affects the physical and mental health of human beings. And PM2.5 (a particulate matter whose diameter is smaller than or equal to 2.5...
Appliance Recognition Based on Continuous Quadratic Programming
Conference Proceeding
Liu, X., & Liu, Q. (2018)
Appliance Recognition Based on Continuous Quadratic Programming. In Proceedings of 4th International Conference on Cloud Computing and Security (ICCCS 2018), (63-72). https://doi.org/10.1007/978-3-030-00018-9_6
The detailed information of residents' electricity consumption is of great significance to the planning of the use of electrical appliances and the reduction of electrical ene...
A Self-organizing LSTM-Based Approach to PM2.5 Forecast
Conference Proceeding
Liu, X., Liu, Q., Zou, Y., & Wang, G. (2018)
A Self-organizing LSTM-Based Approach to PM2.5 Forecast. In Proceedings of the 4th International Conference on Cloud Computing and Security (ICCCS 2018), (683-693). https://doi.org/10.1007/978-3-030-00015-8_59
Nanjing has been listed as the one of the worst performers across China with respect to the high level of haze-fog, which impacts people's health greatly. For the severe condi...
CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN
Conference Proceeding
Liu, X., & Liu, Q. (2018)
CAMA-UAN: A Context-Aware MAC Scheme to the Underwater Acoustic Sensor Networks for the Improved CACA-UAN. In Proceedings of the 3rd International Conference on Computer and Communication Systems, (306-309). https://doi.org/10.1109/CCOMS.2018.8463242
Acoustic Communication is one of the most common and popular techniques used for Underwater Sensor Networks. The design of its communication protocol becomes a challenge due t...
An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs
Conference Proceeding
Liu, X., & Liu, Q. (2017)
An Energy-Efficiency Routing Scheme Based on Clusters with a Mobile Sink for WSNs. In X. Sun, H. C. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security (ICCCS 2017), (450-459). https://doi.org/10.1007/978-3-319-68505-2_39
With the development of microelectronic devices and the radio, the application of WSN is more popular and can be applied in the various areas, which has attracted scholars. Ho...
Power Consuming Activity Recognition in Home Environment
Conference Proceeding
Liu, X., & Liu, Q. (2017)
Power Consuming Activity Recognition in Home Environment. In X. Sun, H. Chao, X. You, & E. Bertino (Eds.), Cloud Computing and Security. ICCCS 2017, (361-372). https://doi.org/10.1007/978-3-319-68505-2_31
This work proposed an activity recognition model which focus on the power con-suming activity in home environment, to help residents modify their behavior. We set the IoT syst...
An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment
Conference Proceeding
Liu, X., & Liu, Q. (2017)
An Optimized Speculative Execution Strategy Based on Local Data Prediction in a Heterogeneous Hadoop Environment. In Proceedings of 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC), (128-131). https://doi.org/10.1109/cse-euc.2017.208
Hadoop is a famous distributed computing framework that is applied to process large-scale data. "Straggling tasks" have a serious impact on Hadoop performance due to imbalance...