Chao-Chin Wu

A Resource-Aware Asynchronous PBT Framework with Dynamic LoRA for Heterogeneous Edge Clusters

Traditionally, training and hyperparameter optimization of deep neural networks rely heavily on centralized cloud data centers. However, privacy concerns are driving a paradigm shift to move model fine-tuning directly to localized edge environments. Migrating Population-Based Training (PBT) to the edge presents severe...