APA引文

Liu, Y., Garg, S., Nie, J., Zhang, Y., Xiong, Z., Kang, J., . . . Engineering, S. o. C. S. a. (2022). Deep anomaly detection for time-series data in industrial IoT: A communication-efficient on-device federated learning approach.

Chicago Style Citation

Liu, Yi, Sahil Garg, Jiangtian Nie, Yang Zhang, Zehui Xiong, Jiawen Kang, M. Shamim Hossain, and School of Computer Science and Engineering. Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-efficient On-device Federated Learning Approach. 2022.

MLA引文

Liu, Yi, et al. Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-efficient On-device Federated Learning Approach. 2022.