OSU AIoT-MLSys Lab

All

17 repositories

Efficient-LLMs-Survey
Public
[TMLR 2024] Efficient Large Language Models: A Survey
survey machine-learning-systems efficient-deep-learning large-language-models generative-ai
86•1k•2•0•Updated Nov 9, 2024Nov 9, 2024
AIoT-Survey
Public
[TOSN 2024] Artificial Intelligence of Things: A Survey
iot survey aiot edge-ai
1•36•0•0•Updated Nov 2, 2024Nov 2, 2024
AIoT-MLSys-Lab.github.io
Public
Homepage of OSU AIoT and MLSys Lab
JavaScript
•0•4•0•0•Updated Oct 11, 2024Oct 11, 2024
SVD-LLM
Public
Official Code for "SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression"
model-compression efficient-models large-language-models generative-ai
Python
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Apache License 2.0
•7•95•3•0•Updated Oct 1, 2024Oct 1, 2024
Famba-V
Public
[2024 ECCV Workshop] Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion
efficient-deep-learning large-language-models mamba-model
Python
•1•30•1•0•Updated Sep 30, 2024Sep 30, 2024
DeepAA
Public
[ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang
data-augmentation automl deep-learning
Python
•3•61•0•0•Updated Sep 20, 2024Sep 20, 2024
FedAIoT
Public
[DMLR 2024] FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things
iot federated-learning
Python
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Apache License 2.0
•10•49•8•0•Updated Aug 27, 2024Aug 27, 2024
FedRolex
Public
[NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang
federated-learning
Python
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Apache License 2.0
•15•61•2•0•Updated Aug 27, 2024Aug 27, 2024
Home.github
Public
0•0•0•0•Updated Jun 25, 2023Jun 25, 2023
NELoRa
Public
[SenSys 2021] "NELoRa: Towards Ultra-low SNR LoRa Communication with Neural-enhanced Demodulation" by Chenning Li, Hanqing Guo, Shuai Tong, Xiao Zeng, Zhichao Cao, Mi Zhang, Qiben Yan, Li Xiao, Jiliang Wang, Yunhao Liu
MATLAB
•10•0•0•0•Updated Mar 30, 2022Mar 30, 2022
Distream
Public
[SenSys 2020] "Distream: Scaling Live Video Analytics with Workload-Adaptive Distributed Edge Intelligence" by Xiao Zeng, Biyi Fang, Haichen Shen, Mi Zhang
machine-learning-for-systems
Go
•4•5•1•0•Updated Mar 28, 2022Mar 28, 2022
Mercury
Public
[SenSys 2021] "Mercury: Efficient On-Device Distributed DNN Training via Stochastic Importance Sampling" by Xiao Zeng, Ming Yan, Mi Zhang
systems-for-machine-learning
Python
•1•1•1•0•Updated Mar 28, 2022Mar 28, 2022
PyramidFL
Public
[MobiCom 2022] " PyramidFL: Fine-grained Data and System Heterogeneity-aware Client Selection for Efficient Federated Learning" by Chenning Li, Xiao Zeng, Mi Zhang, and Zhichao Cao.
federated-learning system-for-machine-learning
Python
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Apache License 2.0
•9•0•0•0•Updated Jan 29, 2022Jan 29, 2022
CATE
Public
[ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang
representation-learning unsupervised-learning automl neural-architecture-search
Python
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Apache License 2.0
•5•19•1•0•Updated Jun 23, 2021Jun 23, 2021
arch2vec
Public
[NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang
representation-learning unsupervised-learning automl neural-architecture-search
Python
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Apache License 2.0
•10•49•0•0•Updated Jan 19, 2021Jan 19, 2021
MutualNet
Public
[ECCV 2020 Oral] MutualNet: Adaptive ConvNet via Mutual Learning from Network Width and Resolution
dynamic-neural-networks efficient-deep-learning
Python
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MIT License
•32•0•0•0•Updated Nov 23, 2020Nov 23, 2020
MSUNet
Public
[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 Zhang
model-compression efficient-deep-learning
Python
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Apache License 2.0
•3•4•0•0•Updated Nov 2, 2020Nov 2, 2020