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The core principle of federated learning is to never disclose the underlying data
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WPP and Tencent are joining forces to help advertisers in China make full use of data and artificial intelligence.
The two parties are coming together to ensure that despite the stricter data privacy protection regulations being put in place, there will not be isolated data silos and complicated data exchange practices.
Using the Cloud Security Privacy Computing (CSPC) Platform, WPP and Tencent Cloud Big Data, have already run campaigns of multi-party federated learning with brands like Pernod Ricard.
Federated Learning is a distributed machine-learning framework that breaks down data silos to unleash the full potential of AI. Founded on the core principle of never disclosing underlying data, different parties can complete joint modeling by exchanging encrypted intermediate results and carrying out data enrichment legally and compliantly
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