Tag: Federated Learning

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Apple Reveals Design of Its On-Device ML System for Federated Evaluation and Tuning

Apple has laid out the design characteristics of a new generic system that enables federated evaluation and tuning (FE&T) systems on end-user devices.

AI Research

Federated Learning: The Future of Distributed Machine Learning

In 2017 Google introduced Federated Learning (FL), “a specific category of distributed machine learning approaches which trains machine learning models using decentralized data residing on end devices such as mobile phones.” A new Google paper has now proposed a scalable production system for federated learning to enable increasing workload and output through the addition of resources such as compute, storage, bandwidth, etc.