| 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 | 697 | 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 | 150 | 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 | 105 | 2019 |
| 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 | 78 | 2015 |
| 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 | 76 | 2015 |
| 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 | 54 | 2020 |
| Multiple pools in a multi-core system L Cherkasova, F Yan US Patent App. 15/120,958, 2017 | 52 | 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 | 41 | 2017 |
| {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 | 39 | 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 | 37 | 2019 |
| 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 | 25 | 2016 |
| 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 | 24 | 2020 |
| 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 | 23 | 2018 |
| 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 | 19 | 2020 |
| 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 | 19 | 2018 |
| Optimizing power and performance trade-offs of MapReduce job processing with heterogeneous multi-core processors F Yan, L Cherkasova, Z Zhang, E Smirni 2014 IEEE 7th International Conference on Cloud Computing, 240-247, 2014 | 19 | 2014 |
| Storage workload isolation via tier warming: How models can help J Xue, F Yan, A Riska, E Smirni 11th International Conference on Autonomic Computing (ICAC 14), 1-11, 2014 | 19 | 2014 |
| Efficient deep neural network serving: Fast and furious F Yan, Y He, O Ruwase, E Smirni IEEE Transactions on Network and Service Management 15 (1), 112-126, 2018 | 18 | 2018 |
| Swift machine learning model serving scheduling: a region based reinforcement learning approach H Qin, S Zawad, Y Zhou, L Yang, D Zhao, F Yan Proceedings of the International Conference for High Performance Computing …, 2019 | 17 | 2019 |
| Fast eventual consistency with performance guarantees for distributed storage F Yan, A Riska, E Smirni 2012 32nd International Conference on Distributed Computing Systems …, 2012 | 17 | 2012 |
Evgenia SmirniProfessor of Computer Science, College of William and MaryVerified email at cs.wm.edu
