What are the advantages of federated machine learning?
Privacy by design. The main advantage of using federated approaches to machine learning is to ensure data privacy or data secrecy. Indeed, no local data is uploaded externally, concatenated or exchanged. Since the entire database is segmented into local bits, this makes it more difficult to hack into it.
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