Yinwei Dai

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20212022202320243 33 100 37

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Harsha MadhyasthaAssociate Professor of Computer Science, USCVerified email at usc.edu
Mosharaf ChowdhuryUniversity of MichiganVerified email at umich.edu
Fan LaiUIUC and GoogleVerified email at illinois.edu
Aditya AkellaProfessor, Computer Science, UT AustinVerified email at cs.utexas.edu
Ravi NetravaliAssistant Professor of Computer Science, Princeton UniversityVerified email at cs.princeton.edu
Anand IyerGeorgia Institute of TechnologyVerified email at gatech.edu
Kai LiProfessor of computer science, Princeton universityVerified email at cs.princeton.edu

Yinwei Dai

Verified email at princeton.edu - Homepage


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fedscale: Benchmarking model and system performance of federated learning at scale F Lai, Y Dai, S Singapuram, J Liu, X Zhu, H Madhyastha, M Chowdhury International Conference on Machine Learning, 11814-11827, 2022	155	2022
ModelKeeper: Accelerating DNN Training via Automated Training Warmup F Lai, Y Dai, HV Madhyastha, M Chowdhury USENIX NSDI, 2023	13	2023
Auxo: Heterogeneity-mitigating federated learning via scalable client clustering J Liu, F Lai, Y Dai, A Akella, H Madhyastha, M Chowdhury arXiv preprint, 2022	4	2022
Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving Y Dai, R Pan, A Iyer, K Li, R Netravali https://arxiv.org/abs/2312.05385, 2023	2	2023
Auxo: Efficient Federated Learning via Scalable Client Clustering J Liu, F Lai, Y Dai, A Akella, HV Madhyastha, M Chowdhury Proceedings of the 2023 ACM Symposium on Cloud Computing, 125-141, 2023	1	2023
CatsTail: Packet programs synthesis via Equality Saturation DM HE, Y DAI

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