📚 This Machine Learning Framework Collaborates Heterogeneous Natural Language Processing Tasks via Federated Learning

One of the key elements in the significant success of big machine learning models in various Natural Language Processing (NLP) applications is learning from the massive amount of data. However, the public’s growing privacy concerns and the tightening of data protection laws create barriers between data owners, making it more difficult (and often even forbidden) […]

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