Prof. Gal Chechik, Director of AI at NVIDIA, Professor at BIU Title: Personalizing Federated learning with hypernetworks Abstract: Federated learning (FL) is the task of learning a model over multiple disjoint local datasets. It is particularly useful when local data cannot be shared due to privacy, storage, or communication constraints. Personalized Federated Learning (PFL) allows each ... Read more