1 citations · 1 across the 3 of their papers we have counts for
4 papers
Resource-Aware Parameter-Efficient Model Adaptation for Onboard High-Dimensional Data
Qiyang Zhang, Xinhao Li, Lei Shi +4
Onboard satellite models often require frequent updates, but the weights adapted to earlier data distributions can quickly become outdated. However, updating large-scale model para…
PhoneLM:an Efficient and Capable Small Language Model Family through Principled Pre-training
Rongjie Yi, Xiang Li, Weikai Xie +6
The interest in developing small language models (SLM) for on-device deployment is fast growing. However, the existing SLM design hardly considers the device hardware characteristi…
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission
Zeling Zhang, Dongqi Cai, Yiran Zhang +3
Communication overhead is a significant bottleneck in federated learning (FL), which has been exaggerated with the increasing size of AI models. In this paper, we propose FedRDMA,…
Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites
Yijie Chen, Qiyang Zhang, Yiran Zhang +2
In recent years, Low Earth Orbit (LEO) satellites have witnessed rapid development, with inference based on Deep Neural Network (DNN) models emerging as the prevailing technology f…