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1. Efficient-LLMs-Survey Efficient-LLMs-Survey Public

   [TMLR 2024] Efficient Large Language Models: A Survey

   833 69

2. FedAIoT FedAIoT Public

   FedAIoT: A Federated Learning Benchmark for Artificial Intelligence of Things

   Python 44 7

3. FedRolex FedRolex Public

   [NeurIPS 2022] "FedRolex: Model-Heterogeneous Federated Learning with Rolling Sub-Model Extraction" by Samiul Alam, Luyang Liu, Ming Yan, and Mi Zhang

   Python 53 14

4. DeepAA DeepAA Public

   [ICLR 2022] "Deep AutoAugment" by Yu Zheng, Zhi Zhang, Shen Yan, Mi Zhang

   Python 60 3

5. arch2vec arch2vec Public

   [NeurIPS 2020] "Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?" by Shen Yan, Yu Zheng, Wei Ao, Xiao Zeng, Mi Zhang

   Python 49 10

6. CATE CATE Public

   [ICML 2021 Oral] "CATE: Computation-aware Neural Architecture Encoding with Transformers" by Shen Yan, Kaiqiang Song, Fei Liu, Mi Zhang

   Python 18 5