Applying Federated Learning to Traditional Machine Learning Methods
In the era of big data and distributed computing, traditional approaches to machine learning (ML) face a significant challenge: how to train models… In the era of big data and distributed computing, traditional approaches to machine learning (ML) face a significant challenge: how to train models collaboratively when data is decentralized across multiple devices or
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