Incentive mechanisms for federated learning: From economic and game theoretic perspective X Tu, K Zhu, NC Luong, D Niyato, Y Zhang, J Li IEEE transactions on cognitive communications and networking 8 (3), 1566-1593, 2022 | 170 | 2022 |
Crowdsourcing sensing to smartphones: A randomized auction approach J Li, Y Zhu, Y Hua, J Yu IEEE Transactions on Mobile Computing 16 (10), 2764-2777, 2017 | 63 | 2017 |
Online auction for IaaS clouds: Towards elastic user demands and weighted heterogeneous VMs J Li, Y Zhu, J Yu, C Long, G Xue, S Qian IEEE INFOCOM, 2017 | 42 | 2017 |
Selecting optimal mobile users for long-term environmental monitoring by crowdsourcing J Li, J Wu, Y Zhu Proceedings of the International Symposium on Quality of Service, 1-10, 2019 | 20 | 2019 |
iCal: Intervention-free calibration for measuring noise with smartphones Y Zhu, J Li, L Liu, CK Tham 2015 IEEE 21st International Conference on Parallel and Distributed Systems …, 2015 | 20 | 2015 |
Load balance vs utility maximization in mobile crowd sensing: A distributed approach J Li, Y Zhu, J Yu 2014 IEEE Global Communications Conference, 265-270, 2014 | 9 | 2014 |
Redundancy-aware and budget-feasible incentive mechanism in crowd sensing J Li, Y Zhu, J Yu The Computer Journal 63 (1), 66-79, 2020 | 8 | 2020 |
A new harmony search based allocation algorithm for location dependent tasks in crowdsensing RG Amin, J Li, Y Zhu 2016 International Conference on Progress in Informatics and Computing (PIC …, 2016 | 8 | 2016 |
Noiseco: Smartphone-based noise collection and correction AHA Al-Saloul, J Li, Z Bei, Y Zhu 2015 4th International Conference on Computer Science and Network Technology …, 2015 | 7 | 2015 |
Towards redundancy-aware data utility maximization in crowdsourced sensing with smartphones J Li, Y Zhu, J Yu, Q Zhang, LM Ni 2015 44th International Conference on Parallel Processing, 899-908, 2015 | 7 | 2015 |
Online cost-aware service requests scheduling in hybrid clouds for cloud bursting Y Cao, L Lu, J Yu, S Qian, Y Zhu, M Li, J Cao, Z Wang, J Li, G Xue Web Information Systems Engineering–WISE 2017: 18th International Conference …, 2017 | 6 | 2017 |
Coded distributed computing with predictive heterogeneous user demands: A learning auction approach K Zhu, J Liang, J Li, C Yi IEEE Journal on Selected Areas in Communications 40 (8), 2426-2439, 2022 | 5 | 2022 |
Data utility maximization when leveraging crowdsensing in machine learning J Li, J Wu, Y Zhu 2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), 1-6, 2018 | 4 | 2018 |
Cross-platform Interference: Locating wifi devices with ZigBee sensor networks Y Lin, J Li, Y Zhu 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS …, 2015 | 3 | 2015 |
Robust privacy‐preserving federated learning framework for IoT devices Z Han, L Zhou, C Ge, J Li, Z Liu International Journal of Intelligent Systems 37 (11), 9655-9673, 2022 | 2 | 2022 |
Joint task offloading and vm placement for edge computing with time-sequential iiot applications M Qiang, C Yi, J Li, K Zhu, J Cai 2022 IEEE Symposium on Computers and Communications (ISCC), 1-6, 2022 | 2 | 2022 |
OutSense: out-of-band sensing with ZigBee sensors for channel adaptation in wireless LANs Y Zhu, L Liu, J Li, J Yu, C Long 2015 IEEE 21st International Conference on Parallel and Distributed Systems …, 2015 | 2 | 2015 |
Distributed compressive data gathering in low duty cycled wireless sensor networks Y Wang, Y Zhu, R Jiang, J Li 2014 IEEE 33rd international performance computing and communications …, 2014 | 2 | 2014 |
Efficient knowledge base synchronization in semantic communication network: A federated distillation approach X Lu, K Zhu, J Li, Y Zhang 2024 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2024 | 1 | 2024 |
Privacy-Preserving Federated Learning via Disentanglement W Zhou, P Li, Z Han, X Lu, J Li, Z Ren, Z Liu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 1 | 2023 |