Abstract: Imitation learning is an important method for the human–robot skill transfer. However, ensuring that skills learned through imitation remain effective in different environments is a ...
Concerns about privacy and the centralized collection of sensitive data have led to the development of Federated Learning, a paradigm enabling collaborative model training without the need to ...
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