FLaaS: Enabling Practical Federated Learning on Mobile Environments. (arXiv:2206.10963v1 [cs.CR])

Federated Learning (FL) has recently emerged as a popular solution to
distributedly train a model on user devices improving user privacy and system
scalability. Major Internet companies have deployed FL in their applications
for specific use cases (e.g., keyboard prediction or acoustic keyword trigger),
and the research community has devoted significant attention to improving
different aspects of FL (e.g., accuracy, privacy). However, there is still a
lack of a practical system to easily enable FL training in the context of …

mobile