| Terngrad: Ternary gradients to reduce communication in distributed deep learning W Wen, C Xu, F Yan, C Wu, Y Wang, Y Chen, H Li Neural Information Processing Systems 2017, 2017 | 1083 | 2017 |
| {BatchCrypt}: Efficient homomorphic encryption for {Cross-Silo} federated learning C Zhang, S Li, J Xia, W Wang, F Yan, Y Liu 2020 USENIX annual technical conference (USENIX ATC 20), 493-506, 2020 | 623 | 2020 |
| Tifl: A tier-based federated learning system Z Chai, A Ali, S Zawad, S Truex, A Anwar, N Baracaldo, Y Zhou, H Ludwig, ... Proceedings of the 29th international symposium on high-performance parallel …, 2020 | 271 | 2020 |
| {MArk}: Exploiting cloud services for {Cost-Effective},{SLO-Aware} machine learning inference serving C Zhang, M Yu, W Wang, F Yan 2019 USENIX Annual Technical Conference (USENIX ATC 19), 1049-1062, 2019 | 264 | 2019 |
| Batch: Machine learning inference serving on serverless platforms with adaptive batching A Ali, R Pinciroli, F Yan, E Smirni SC20: International Conference for High Performance Computing, Networking …, 2020 | 134 | 2020 |
| Performance modeling and scalability optimization of distributed deep learning systems F Yan, O Ruwase, Y He, T Chilimbi Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 109 | 2015 |
| {InfiniCache}: exploiting ephemeral serverless functions to build a {cost-effective} memory cache A Wang, J Zhang, X Ma, A Anwar, L Rupprecht, D Skourtis, V Tarasov, ... 18th USENIX conference on file and storage technologies (FAST 20), 267-281, 2020 | 98 | 2020 |
| Practise: Robust prediction of data center time series J Xue, F Yan, R Birke, LY Chen, T Scherer, E Smirni 2015 11th International Conference on Network and Service Management (CNSM …, 2015 | 93 | 2015 |
| Multiple pools in a multi-core system L Cherkasova, F Yan US Patent App. 15/120,958, 2017 | 80 | 2017 |
| Hyperdrive: Exploring hyperparameters with pop scheduling J Rasley, Y He, F Yan, O Ruwase, R Fonseca Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, 1-13, 2017 | 64 | 2017 |
| Learning low-rank deep neural networks via singular vector orthogonality regularization and singular value sparsification H Yang, M Tang, W Wen, F Yan, D Hu, A Li, H Li, Y Chen Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 60 | 2020 |
| Grnn: Low-latency and scalable rnn inference on gpus C Holmes, D Mawhirter, Y He, F Yan, B Wu Proceedings of the Fourteenth EuroSys Conference 2019, 1-16, 2019 | 59 | 2019 |
| Curse or redemption? how data heterogeneity affects the robustness of federated learning S Zawad, A Ali, PY Chen, A Anwar, Y Zhou, N Baracaldo, Y Tian, F Yan Proceedings of the AAAI conference on artificial intelligence 35 (12), 10807 …, 2021 | 54 | 2021 |
| Smoothout: Smoothing out sharp minima to improve generalization in deep learning W Wen, Y Wang, F Yan, C Xu, C Wu, Y Chen, H Li arXiv preprint arXiv:1805.07898, 2018 | 42 | 2018 |
| STEP: A spatio-temporal fine-granular user traffic prediction system for cellular networks L Yu, M Li, W Jin, Y Guo, Q Wang, F Yan, P Li IEEE Transactions on Mobile Computing 20 (12), 3453-3466, 2020 | 41 | 2020 |
| SERF: Efficient scheduling for fast deep neural network serving via judicious parallelism F Yan, O Ruwase, Y He, E Smirni SC'16: Proceedings of the International Conference for High Performance …, 2016 | 35 | 2016 |
| Stay fresh: Speculative synchronization for fast distributed machine learning C Zhang, H Tian, W Wang, F Yan 2018 IEEE 38th International Conference on Distributed Computing Systems …, 2018 | 34 | 2018 |
| Optimizing inference serving on serverless platforms A Ali, R Pinciroli, F Yan, E Smirni Proceedings of the VLDB Endowment 15 (10), 2022 | 33 | 2022 |
| Autogrow: Automatic layer growing in deep convolutional networks W Wen, F Yan, Y Chen, H Li Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 33 | 2020 |
| Gradient compression supercharged high-performance data parallel dnn training Y Bai, C Li, Q Zhou, J Yi, P Gong, F Yan, R Chen, Y Xu Proceedings of the ACM SIGOPS 28th Symposium on Operating Systems Principles …, 2021 | 29 | 2021 |
Yiran ChenJohn Cocke Distinguished Professor of Electrical and Computer Engineering, Duke University在 duke.edu 的电子邮件经过验证
