Open-weight LLMs can unlock significant strategic advantages, delivering customization and independence in an increasingly AI ...
Abstract: Federated learning (FL) is a promising paradigm that can enable collaborative model training between vehicles while protecting data privacy, thereby significantly improving the performance ...
Abstract: The bi-level optimization (BLO) algorithm has been extensively employed for hierarchical decision-making problems, where the upper level (UL) is constrained by the solutions of the lowe ...