Reliable Federated Multi-View Learning for Heterogeneous Information Fusion in Mobile Edge Computing
Abstract: The rising data demands of generative AI models, such as large language models (LLMs), underscore the value of utilizing edge device data in mobile computing, where federated learning (FL) ...
Abstract: Recent robot task planners utilize large language models (LLMs) or vision-language models (VLMs) as a failure detector. These methods perform well by leveraging their semantic reasoning ...
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