Publications
1. Manan Mehta, Yuhang Yang, and Chenhui Shao, (2023), "Multi-task learning with multi-resolution data in manufacturing," in preparation.
2. Manan Mehta, Miles V. Bimrose, Davis J. McGregor, William P. King, and Chenhui Shao, (2023), "Federated learning enables privacy-preserving and data-efficient geometry prediction and part qualification across additive factories," in preparation.
3. Manan Mehta, Siyuan Chen, Haichuan Tang, and Chenhui Shao, (2023), "A federated learning approach to mixed fault diagnosis in rotating machinery," Journal of Manufacturing Systems, Vol. 68, pp. 687-694. (An earlier version was presented at the North American Manufacturing Conference (NAMRC) 51, June 12-16, 2023, NJ, USA) [slides]
4. Manan Mehta and Chenhui Shao, (2023), "A greedy agglomerative framework for clustered federated learning," IEEE Transactions on Industrial Informatics, in press. [pdf] [news]
5. Manan Mehta and Chenhui Shao, (2022), "Federated learning-based semantic segmentation for pixel-wise defect detection in additive manufacturing," Journal of Manufacturing Systems, Vol. 64, pp. 197–210. [pdf] [code] [news]
6. Manan Mehta and Chenhui Shao, (2021), "Adaptive sampling design for multi-task learning of Gaussian processes in manufacturing," Journal of Manufacturing Systems, Vol. 61, pp. 326–337.