Distributed data analytics

no code implementations • 26 Mar 2022 • Richard Mortier, Hamed Haddadi, Sandra Servia, Liang Wang

A contrasting approach, distributed data analytics, where code and models for training and inference are distributed to the places where data is collected, has been boosted by two recent, ongoing developments: increased processing power and memory capacity available in user devices at the edge of the network, such as smartphones and home assistants; and increased sensitivity to the highly intrusive nature of many of these devices and services and the attendant demands for improved privacy.

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