What is federated learning? | IBM Research Blog
Federated learning is a way to train AI models without anyone seeing or touching your data, offering a way to unlock information to feed new AI applications. Learn more about IBM watsonx, the AI and data platform built for business. Federated learning is a way to train AI models without anyone seeing or touching your data, offering a way to unlock information to feed new AI applications. The spam filters, chatbots, and recommendation tools that have made artificial intelligence a fixture of modern life got there on data — mountains of training examples scraped from the web, or contributed by consumers in exchange for free email, music, and other perks. Many of these AI applications were trained on data gathered and crunched in one place. But today’s AI is shifting toward a decentralized approach. New AI models are being trained collaboratively on the edge, on data that never leave your mobile phone, laptop, or private server. This new form of AI training is called federated learning, a
The spam filters, chatbots, and recommendation tools that have made artificial intelligence a fixture of modern life got there on data — mountains of training examples scraped from the web, or contributed by consumers in exchange for free email, music, and other perks. Many of these AI applications were trained on data gathered and crunched in one place. But today’s AI is shifting toward a decentralized approach. New AI models are being trained collaboratively on the edge, on data that never leave your mobile phone, laptop, or private server. This new form of AI training is called…
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