Federated Learning
Isbarid Federaalaysan
English
Federated learning is a way to train AI models across many devices or servers without sharing raw data. Each device learns from its own private data and sends only updates to a shared model, helping protect privacy—especially when data is sensitive or spread out.
Somali
Waa hab lagu tababaro moodeellada AI GG iyadoo la adeegsanayo qalabyo ama serverro badan iyada oo aan la wadaagin xogta ceeriinka ah. Qalab kasta waxa uu wax ka baranayaa xogtiisa gaarka ah ee uu leeyahay, kadibna waxa uu moodeelka guud u soo dirayaa oo keliya fariin, tani waxa ay inaga caawinaysa ilaalinta asturnaanta xogta—gaar ahaan marka xogtu tahay mid xasaasi ah ama ku baahsan meelo kala duwan.