Privacy-preserving traffic flow prediction: A federated learning approach Y Liu, JQ James, J Kang, D Niyato, S Zhang IEEE Internet of Things Journal 7 (8), 7751-7763, 2020 | 628 | 2020 |
Deep anomaly detection for time-series data in industrial IoT: A communication-efficient on-device federated learning approach Y Liu, S Garg, J Nie, Y Zhang, Z Xiong, J Kang, MS Hossain IEEE Internet of Things Journal 8 (8), 6348-6358, 2020 | 501 | 2020 |
Federated learning for 6g communications: Challenges, methods, and future directions Y Liu, X Yuan, Z Xiong, J Kang, X Wang, D Niyato China Communications 17 (9), 105-118, 2020 | 442 | 2020 |
A secure federated learning framework for 5G networks Y Liu, J Peng, J Kang, AM Iliyasu, D Niyato, AA Abd El-Latif IEEE Wireless Communications 27 (4), 24-31, 2020 | 304 | 2020 |
Federated learning in the sky: Aerial-ground air quality sensing framework with UAV swarms Y Liu, J Nie, X Li, SH Ahmed, WYB Lim, C Miao IEEE Internet of Things Journal 8 (12), 9827-9837, 2020 | 193 | 2020 |
Spatial-temporal graph attention networks: A deep learning approach for traffic forecasting C Zhang, JQ James, Y Liu Ieee Access 7, 166246-166256, 2019 | 187 | 2019 |
The right to be forgotten in federated learning: An efficient realization with rapid retraining Y Liu, L Xu, X Yuan, C Wang, B Li IEEE INFOCOM 2022, 1749-1758, 2022 | 160 | 2022 |
Big data platform architecture under the background of financial technology: In the insurance industry as an example Y Liu, J Peng, Z Yu Proceedings of the 2018 international conference on big data engineering and …, 2018 | 129 | 2018 |
Aggregation service for federated learning: An efficient, secure, and more resilient realization Y Zheng, S Lai, Y Liu, X Yuan, X Yi, C Wang IEEE Transactions on Dependable and Secure Computing 20 (2), 988-1001, 2023 | 118 | 2023 |
PPGAN: Privacy-preserving Generative Adversarial Network Y Liu, J Peng, JQ James, Y Wu 2019 IEEE 25th International Conference on Parallel and Distributed Systems …, 2019 | 98 | 2019 |
Communication-efficient and cross-chain empowered federated learning for artificial intelligence of things J Kang, X Li, J Nie, Y Liu, M Xu, Z Xiong, D Niyato, Q Yan IEEE Transactions on Network Science and Engineering 9 (5), 2966-2977, 2022 | 89 | 2022 |
Dominant Data Set Selection Algorithms for Electricity Consumption Time-Series Data Analysis Based on Affine Transformation Y Wu, Y Liu, SH Ahmed, J Peng, AA Abd El-Latif IEEE Internet of Things Journal 7 (5), 4347-4360, 2019 | 81* | 2019 |
Communication-efficient federated learning for anomaly detection in industrial internet of things Y Liu, N Kumar, Z Xiong, WYB Lim, J Kang, D Niyato GLOBECOM 2020-2020 IEEE Global Communications Conference, 1-6, 2020 | 77 | 2020 |
Semi-supervised federated learning for travel mode identification from GPS trajectories Y Zhu, Y Liu, JQ James, X Yuan IEEE Transactions on Intelligent Transportation Systems 23 (3), 2380-2391, 2021 | 69 | 2021 |
Scalable and communication-efficient decentralized federated edge learning with multi-blockchain framework J Kang, Z Xiong, C Jiang, Y Liu, S Guo, Y Zhang, D Niyato, C Leung, ... Blockchain and Trustworthy Systems: Second International Conference …, 2020 | 57 | 2020 |
User electricity behavior analysis based on K-means plus clustering algorithm Z Zhao, J Wang, Y Liu 2018 International Computers, Signals and Systems Conference (ICOMSSC), 151-154, 2018 | 45 | 2018 |
Towards communication-efficient and attack-resistant federated edge learning for industrial Internet of Things Y Liu, R Zhao, J Kang, A Yassine, D Niyato, J Peng ACM Transactions on Internet Technology (TOIT) 22 (3), 1-22, 2021 | 40 | 2021 |
Resource-constrained federated edge learning with heterogeneous data: Formulation and analysis Y Liu, Y Zhu, JQ James IEEE Transactions on Network Science and Engineering 9 (5), 3166-3178, 2021 | 38 | 2021 |
Fedgru: Privacy-preserving traffic flow prediction via federated learning Y Liu, S Zhang, C Zhang, JQ James 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 34 | 2020 |
Robust federated learning approach for travel mode identification from non-IID GPS trajectories Y Zhu, S Zhang, Y Liu, D Niyato, JQ James 2020 IEEE 26th International Conference on Parallel and Distributed Systems …, 2020 | 30 | 2020 |