Federated Data Analytics: A Study on Linear Models. (arXiv:2206.07786v1 [stat.AP])

Web: http://arxiv.org/abs/2206.07786

As edge devices become increasingly powerful, data analytics are gradually
moving from a centralized to a decentralized regime where edge compute
resources are exploited to process more of the data locally. This regime of
analytics is coined as federated data analytics (FDA). In spite of the recent
success stories of FDA, most literature focuses exclusively on deep neural
networks. In this work, we take a step back to develop an FDA treatment for one
of the most fundamental statistical models: …

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