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Efficient-LLMs-Survey
[TMLR 2024] Efficient Large Language Models: A SurveySVD-LLM
Official Code for "SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression"DeepAA
[ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi ZhangFedRolex
[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi ZhangFedAIoT
FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of ThingsCATE
[ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi ZhangAIoT-Survey
Artificial Intelligence of Things: A SurveyDistream
[SenSys 2020] "Distream: Scaling Live Video Analytics with Workload-Adaptive Distributed Edge Intelligence" by Xiao Zeng, Biyi Fang, Haichen Shen, Mi ZhangAIoT-MLSys-Lab.github.io
Homepage of OSU AIoT and MLSys LabMSUNet
[NeurIPS 2019 Google MicroNet Challenge] MSUNet is an efficient model that won the 4th place in the Google MicroNet Challenge CIFAR-100 Track hosted at NeurIPS 2019 designed by Yu Zheng, Shen Yan, Mi ZhangMercury
[SenSys 2021] "Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling" by Xiao Zeng, Ming Yan, Mi ZhangLove Open Source and this site? Check out how you can help us