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.

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.

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