Avoid Forgetting by Preserving Global Knowledge Gradients in Federated Learning with Non-IID Data
Abhijit Chunduru, Majid Morafah, Mahdi Morafah, Vishnu Pandi Chellapandi, Ang Li
May, 2026Abstract
Co-authored with collaborators from UCSD and Purdue, this work addresses catastrophic forgetting in federated learning through gradient-projection constraints.
Publication
Transactions on Machine Learning Research (under review)
Work on preserving global knowledge in non-IID federated learning through gradient-projection constraints.

Master’s Student
ML Systems and Trustworthy AI at UMass Amherst