Real-Time Hate Speech Detection with Federated Learning

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This presentation offers a comprehensive exploration of federated learning within current technological frameworks. We delve into the purpose and challenges of existing systems and introduce federated learning's innovative edge, focusing on privacy-enhancing Edge AI and sophisticated NLP model constraints. The session highlights the development of a lightweight NLP model using a hub-and-spoke architecture facilitated by the Flower framework. Additionally, we examine optimization techniques...