1. The Problem The authors start from a realistic problem. Most Federated Learning research assumes that clients already have a labeled dataset. But what happens when data is continuously arriving at the client without labels? For example: Hospital ↓ Patient image arrives ↓ No label yet ↓ Doctor / expert must annotate it ↓ Then it can be used for... Weiterlesen
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Learn How to Query from Unlabeled Data Streams in Federated Learning.
1. The Problem The authors start from a realistic problem. Most Federated Learning research assumes that clients already have a labeled dataset. But what happens when data is continuously arriving at the client without labels? For example:…
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