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Machine learningPrivacy-preserving analysis

Federated Learning

Federated Learning ni mfumo wa kujifunza mashine uliotawanywa ambao ulianzishwa na McMahan et al. mwaka 2017 ambapo modeli ya kimataifa hufunzwa kwa ushirikiano katika kompyuta nyingi zilizotawanywa — kama vile vifaa vya mkononi au mifumo ya hospitali — bila kuhamisha data ghafi kamwe kwenye seva kuu. Kila mshiriki huhesabu masasisho ya modeli ndani ya nchi kwa kutumia data yake ya faragha; ni masasisho hayo tu, si data ya msingi, yanayowasiliana na kuunganishwa na seva ili kuboresha modeli iliyoshirikiwa.

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Method map

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Vyanzo

  1. McMahan, B., Moore, E., Ramage, D., Hampson, S., & Arcas, B. A. (2017). Communication-efficient learning of deep networks from decentralized data. Artificial Intelligence and Statistics, 1273–1282. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 2). Federated Learning. ScholarGate. https://scholargate.app/sw/privacy/federated-learning

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateFederated Learning (Federated Learning). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/privacy/federated-learning · Seti ya data: https://doi.org/10.5281/zenodo.20539026