Abstract: Federated learning (FL) has been popular recently as a framework for training machine learning (ML) models in a distributed and privacy-preserving manner. Traditional FL frameworks often ...
A knowledge architect. An orchestration engineer. A conversation designer. A human AI collaboration leader. If you’ve never ...
Hannah Waterhouse was awarded the Foundation for Food & Agriculture Research’s New Innovator in Food & Agriculture Research ...
While prompt engineering will remain vital, getting consistent, situationally aware results from AI models will require IT ...
Abstract: This paper proposes a new global model aggregation method based on using zero-knowledge federated learning (ZKFL). The purpose is to secure horizontal or P2P federated machine learning ...
During Hollywood’s “Golden Age,” large studios operated like industrial-era giants, keeping vast talent pools—actors, ...