3 papers accepted: Reserach on a dynamic-encoding, oversampling HD federated learning framework for mobile robots (ICRA 2025); an HD framework designed with fine-grained feature encoding and a robust training scheme to effectively capture complex data patterns(DATE 2025); and a dynamic pruning framework for large language models enabling real-time adaptation with competitive accuracy and improved efficiency (DATE 2025).