Federated learning enables privacy-preserving and data-efficient dimension prediction and part qualification across additive manufacturing factories

  • Manan Mehta
  • , Miles V. Bimrose
  • , Davis J. McGregor
  • , William P. King
  • , Chenhui Shao

Research output: Contribution to journal › Article › peer-review

Fingerprint

Dive into the research topics of 'Federated learning enables privacy-preserving and data-efficient dimension prediction and part qualification across additive manufacturing factories'. Together they form a unique fingerprint.

Keyphrases

Computer Science

Material Science