Feng Yan
Cited by
Cited by
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
{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
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
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
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
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
{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
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
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
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
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
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
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
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
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
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
Fast eventual consistency with performance guarantees for distributed storage
F Yan, A Riska, E Smirni
2012 32nd International Conference on Distributed Computing Systems …, 2012
The system can't perform the operation now. Try again later.
Articles 1–20