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Shay Vargaftik
Shay Vargaftik
VMware Research
Verified email at vmware.com
Title
Cited by
Cited by
Year
dRMT: Disaggregated Programmable Switching
S Chole, A Fingerhut, S Ma, A Sivaraman, S Vargaftik, A Berger, ...
Proceedings of the Conference of the ACM Special Interest Group on Data …, 2017
2062017
Virtualized congestion control
B Cronkite-Ratcliff, A Bergman, S Vargaftik, M Ravi, N McKeown, ...
Proceedings of the 2016 ACM SIGCOMM Conference, 230-243, 2016
1152016
IIsy: Hybrid In-Network Classification Using Programmable Switches
C Zheng, Z Xiong, TT Bui, S Kaupmees, R Bensoussane, A Bernabeu, ...
IEEE/ACM Transactions on Networking, 2024
74*2024
Automating in-network machine learning
C Zheng, M Zang, X Hong, R Bensoussane, S Vargaftik, Y Ben-Itzhak, ...
arXiv preprint arXiv:2205.08824, 2022
632022
Eden: Communication-efficient and robust distributed mean estimation for federated learning
S Vargaftik, RB Basat, A Portnoy, G Mendelson, YB Itzhak, ...
International Conference on Machine Learning, 21984-22014, 2022
522022
Memento: Making Sliding Windows Efficient for Heavy Hitters
RB Basat, G Einziger, I Keslassy, A Orda, S Vargaftik, E Waisbard
Proceedings of the 14th International Conference on Emerging Networking …, 2018
502018
DRIVE: One-bit Distributed Mean Estimation
S Vargaftik, R Ben-Basat, A Portnoy, G Mendelson, Y Ben-Itzhak, ...
Advances in Neural Information Processing Systems 34, 2021
462021
Salsa: self-adjusting lean streaming analytics
RB Basat, G Einziger, M Mitzenmacher, S Vargaftik
2021 IEEE 37th International Conference on Data Engineering (ICDE), 864-875, 2021
382021
In-network machine learning using programmable network devices: A survey
C Zheng, X Hong, D Ding, S Vargaftik, Y Ben-Itzhak, N Zilberman
IEEE Communications Surveys & Tutorials, 2023
322023
LSQ: Load Balancing in Large-Scale Heterogeneous Systems With Multiple Dispatchers
S Vargaftik, I Keslassy, A Orda
IEEE/ACM Transactions on Networking 28 (3), 1186-1198, 2020
312020
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods
S Vargaftik, I Keslassy, A Orda, Y Ben-Itzhak
Machine Learning 110 (10), 2835-2866, 2021
272021
AnchorHash: A Scalable Consistent Hash
G Mendelson, S Vargaftik, K Barabash, DH Lorenz, I Keslassy, A Orda
IEEE/ACM Transactions on Networking 29 (2), 517-528, 2020
242020
Faster and More Accurate Measurement Through Additive-Error Counters
RB Basat, G Einziger, M Mitzenmacher, S Vargaftik
IEEE INFOCOM 2020-IEEE Conference on Computer Communications, 1251-1260, 2020
222020
Characterizing, Exploiting, and Detecting DMA Code Injection Vulnerabilities in the Presence of an IOMMU
M Alex, S Vargaftik, G Kupfer, B Pismeny, N Amit, A Morrison, D Tsafrir
Proceedings of the Sixteenth European Conference on Computer Systems, 395-409, 2021
212021
Scionfl: Secure quantized aggregation for federated learning
Y Ben-Itzhak, H Möllering, B Pinkas, T Schneider, A Suresh, O Tkachenko, ...
CoRR, vol. abs/2210.07376, 2022
20*2022
DoCoFL: Downlink compression for cross-device federated learning
R Dorfman, S Vargaftik, Y Ben-Itzhak, KY Levy
International Conference on Machine Learning, 8356-8388, 2023
192023
{THC}: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression
M Li, RB Basat, S Vargaftik, CL Lao, K Xu, M Mitzenmacher, M Yu
21st USENIX Symposium on Networked Systems Design and Implementation (NSDI …, 2024
152024
QUIC-FL: Quick Unbiased Compression for Federated Learning
RB Basat, S Vargaftik, A Portnoy, G Einziger, Y Ben-Itzhak, ...
arXiv preprint arXiv:2205.13341, 2022
152022
Persistent-Idle Load-Distribution
R Atar, I Keslassy, G Mendelson, A Orda, S Vargaftik
Stochastic Systems 10 (2), 152-169, 2020
152020
Planter: Rapid prototyping of in-network machine learning inference
C Zheng, M Zang, X Hong, L Perreault, R Bensoussane, S Vargaftik, ...
ACM SIGCOMM Computer Communication Review 54 (1), 2-21, 2024
142024
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