Two of our recent works, Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation (GreenTrainer) and Tackling the Unlimited Staleness in Federated Learning with Intertwined Data and Device Heterogeneities, are now available online on arXiv.
Two papers from our lab, ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection and PTEase: Objective Airway Examination for Pulmonary Telemedicine using Commodity Smartphones, are accepted and presented at MobiSys 2023.
AiFi: AI-Enabled WiFi Interference Cancellation with Commodity PHY-Layer Information is accepted and presented at SenSys 2022.
Our AgileNN work is accepted and presented at MobiCom 2022. The published paper, Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI, is also available online.
