Feng Yan
Hivatkozott rá
Hivatkozott rá
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
{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
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
{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
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
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
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
{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
Multiple pools in a multi-core system
L Cherkasova, F Yan
US Patent App. 15/120,958, 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
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
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
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
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
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
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
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
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
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
Citadel: Protecting data privacy and model confidentiality for collaborative learning
C Zhang, J Xia, B Yang, H Puyang, W Wang, R Chen, IE Akkus, P Aditya, ...
Proceedings of the ACM Symposium on Cloud Computing, 546-561, 2021
A rendszer jelenleg nem tudja elvégezni a műveletet. Próbálkozzon újra később.
Cikkek 1–20