… open questions and opportunities for further technical, organizational, and legal … organizational,
and legal research opportunities to inspire future scientific inquiries into the opportunities …

… in applying FL to other applications has greatly increased, including some which might
involve only a small number of relatively reliable clients, for example multiple organizations …

… Due to its privacy-preserving nature, federated learning is … to the general idea of federated
learning, discuss several possible … for future research on federated learning in the context of …

… In this context, federated learning (FL) has been proposed to provide collaborative data
training solutions, by coordinating multiple mobile devices to train a shared AI model without …

… training of machine learning models among different organizations under the … federated
learning systems, we present the design factors, case studies, and future research opportunities…

This paper provides a comprehensive study of Federated Learning (FL) with an emphasis
on enabling software and hardware platforms, protocols, real-life applications and use-cases. …

… in industrial field could be adversely affected by the preference on organizations with bulk of
… learning method to process federated training. FC API, the basic layer for federation learning…

… even more IIoT application opportunities reliant upon machine learning or artificial intelligence…
Participant: participants represent organizations engaged in the multi-party federated data …

… poses organizational and national security challenges that present both opportunities and
… the features of blockchain technology and federated learning. The proposed model presents …

… organizations. “Cross-device” and “cross-silo” are terms used to describe the possible FL
settings for end devices and organizations as … , as well as its implications and opportunities for …