20 citations · 37 across the 9 of their papers we have counts for
3 papers · 1 filter
Accelerating Mobile Inference through Fine-Grained CPU-GPU Co-Execution
Zhuojin Li, Marco Paolieri, Leana Golubchik
Deploying deep neural networks on mobile devices is increasingly important but remains challenging due to limited computing resources. On the other hand, their unified memory archi…
Estimating Ground Reaction Forces from Inertial Sensors
Bowen Song, Marco Paolieri, Harper E. Stewart +4
Objective: Our aim is to determine if data collected with inertial measurement units (IMUs) during steady-state running could be used to estimate ground reaction forces (GRFs) and…
Backdoor Attacks on Federated Meta-Learning
Chien-Lun Chen, Leana Golubchik, Marco Paolieri
Federated learning allows multiple users to collaboratively train a shared classification model while preserving data privacy. This approach, where model updates are aggregated by…