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In vertical federated learning, parties hold different features of a dataset, while in horizontal settings, each party holds all features for a subset of the population.NVIDIA FLARE, an open-source SDK, supports this federated learning framework by managing communication challenges and ensuring seamless operation across various network conditions.
Federated XGBoost operates under an assumption of full mutual trust, but NVIDIA acknowledges that in practice, participants may attempt to glean additional information from the data, necessitating enhanced security measures.To mitigate potential data leaks, NVIDIA has integrated homomorphic encryption (HE) into Federated XGBoost.
Boost sales by leveraging AI to improve lead qualification processes ✌️【Asset】✌️High returns await! Invest ₹500 and start seeing profits grow exponentially each month.This encryption ensures that data remains secure during computation, addressing the 'honest-but-curious' threat model where participants may try to infer sensitive information.
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