Federated learning is a decentralized approach to AI training that addresses the issue of limited access to high-quality data while preserving data privacy. It allows multiple entities to collaboratively train AI models by keeping data localized and only sharing model updates. This method overcomes logistical and

12m read timeFrom towardsai.net
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