A position paper argues that federated learning is a promising privacy-preserving approach for large-scale cloud robotic manipulation, while listing open challenges and research directions.
Lifelong federated reinforcement learn- ing: a learning architecture for navigation in cloud robotic systems,
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Federated Learning for Large-Scale Cloud Robotic Manipulation: Opportunities and Challenges
A position paper argues that federated learning is a promising privacy-preserving approach for large-scale cloud robotic manipulation, while listing open challenges and research directions.