Federated learning (FL) has emerged as a promising paradigm for collaborative model
training while preserving data privacy. Client selection plays a crucial role in determining the …

Multimodal federated learning (FL) aims to enrich model training in FL settings where clients
are collecting measurements across multiple modalities. However, key challenges to …

Federated learning techniques provide a promising framework for collaboratively training a
machine learning model without sharing users' data, and delivering a security solution to …

Federated learning is an emerging field that has received tremendous attention as it enables
training Deep Neural Networks in a distributed fashion. By keeping the data decentralized …