Changchang Liu

Changchang Liu is a researcher at IBM T. J. Watson Research Center, specializing in privacy-enhancing technologies and distributed machine learning. He has extensive research experience in federated learning, differential privacy, and privacy-preserving analytics, with numerous published papers. Changchang Liu's research focuses on addressing data noise problems in federated learning while advancing data privacy protection through innovative techniques. His work has made significant contributions to the integration of privacy technologies and machine learning.

• Present·IBM T. J. Watson Research Center·Researcher
  • Specializes in research on privacy-enhancing technologies, federated learning, and distributed machine learning
  • Published multiple academic papers covering areas such as differential privacy and privacy-preserving graph learning

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