3 papers
stat.ML2024
Minimal Communication-Cost Statistical Learning
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
A client device which has access to training data samples needs to obtain a statistical hypothesis or model and then to send it to a remote server. The client and the serve…
stat.ML2024
Minimum Description Length and Generalization Guarantees for Representation Learning
Milad Sefidgaran, Abdellatif Zaidi, Piotr Krasnowski
A major challenge in designing efficient statistical supervised learning algorithms is finding representations that perform well not only on available training samples but also on…
stat.ML2023
More Communication Does Not Result in Smaller Generalization Error in Federated Learning
Romain Chor, Milad Sefidgaran, Abdellatif Zaidi
We study the generalization error of statistical learning models in a Federated Learning (FL) setting. Specifically, there are devices or clients, each holding an independent o…