Publications

1. M. Mehta, C. Shao, "Clustered federated learning for heterogeneous clients in fault diagnosis," IEEE Transactions on Industrial Informatics, 2023.

2. M. Mehta, C. Shao, "Filtered kriging for surface interpolation with heterogeneous measurement uncertainties," Journal of Manufacturing Systems, 2022.

3. M. Mehta, C. Shao, "Multi-task learning of Gaussian processes for surface interpolation," Journal of Manufacturing Processes, 2022.

4. M. Mehta, C. Shao, "Active learning for multi-task learning of Gaussian processes," Mechanical Systems and Signal Processing, 2021.

5. M. Mehta, C. Shao, "DupletCNN: Towards real-time reverse engineering of complex spatial surfaces using deep learning," Journal of Manufacturing Systems, 2021.

6. M. Mehta, C. Shao, "Federated learning with Byzantine-robust aggregation for distributed fault diagnosis," IEEE Transactions on Industrial Informatics, 2021.

1. M. Mehta, C. Shao, "Federated learning for fault diagnosis with non-IID data," ASME Manufacturing Science and Engineering Conference (MSEC), 2023.

2. M. Mehta, C. Shao, "Addressing data heterogeneity in collaborative fault diagnosis using clustered federated learning," NAMRC 51, 2023. [PDF]

3. M. Mehta, C. Shao, "Federated learning for fault diagnosis with Byzantine clients," ASME Manufacturing Science and Engineering Conference (MSEC), 2022.

4. M. Mehta, C. Shao, "Filtered kriging for surface interpolation with heterogeneous measurement uncertainties," NAMRC 50, 2022.

5. M. Mehta, C. Shao, "Multi-task learning of Gaussian processes for surface interpolation," ASME Manufacturing Science and Engineering Conference (MSEC), 2021.

6. M. Mehta, C. Shao, "Active learning for multi-task learning of Gaussian processes," NAMRC 49, 2021.

7. M. Mehta, C. Shao, "DupletCNN: Towards real-time reverse engineering of complex spatial surfaces using deep learning," ASME Manufacturing Science and Engineering Conference (MSEC), 2020.