Towards Preventing Global Knowledge Forgetting in Federated Learning with Non-IID Data
Abstract
Co-authored with collaborators from UCSD and Purdue, this work addresses catastrophic forgetting in federated learning through gradient-projection constraints.
Type
Publication
Transactions on Machine Learning Research
Work on preserving global knowledge in non-IID federated learning through gradient-projection constraints.
