Artificial intelligence is getting smarter every day, but it still has its limits. One of the biggest challenges has been ...

Abstract: Differential privacy federated learning (DPFL) has garnered tremendous attentions for its ability to preserve clients’ privacy during model training. However, directly training multi-modal ...

Abstract: As the use of autonomous robots expands in tasks that are complex and challenging to model, the demand for robust data-driven control methods that can certify safety and stability in ...

Traditional path planning algorithms often face problems such as local optimum traps and low monitoring efficiency in agricultural UAV operations, making it difficult to meet the operational ...