Federated learning is a machine learning technique that:
Trains models across multiple decentralized devices or servers holding local data samples.
Does not move the data; instead, only model updates (like gradients or weights) are shared and aggregated.
Ensures data privacy and compliance by keeping sensitive data (e.g., personal or regulated data) on-premises or on edge devices.
This technique is especially useful in scenarios where data privacy regulations (like HIPAA, GDPR) restrict centralizing data.
A voting comment increases the vote count for the chosen answer by one.
Upvoting a comment with a selected answer will also increase the vote count towards that answer by one.
So if you see a comment that you already agree with, you can upvote it instead of posting a new comment.
nand2804
2 weeks, 2 days ago