Search Results for author:
Found 2 papers, 2 papers with code
Provably Personalized and Robust Federated Learning
Identifying clients with similar objectives and learning a model-per-cluster is an intuitive and interpretable approach to personalization in federated learning.
Optimal Data Selection: An Online Distributed View
The blessing of ubiquitous data also comes with a curse: the communication, storage, and labeling of massive, mostly redundant datasets.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
