Seuraa
Shay Vargaftik
Shay Vargaftik
VMware Research
Vahvistettu sähköpostiosoite verkkotunnuksessa vmware.com
Nimike
Viittaukset
Viittaukset
Vuosi
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
2002017
Virtualized congestion control
B Cronkite-Ratcliff, A Bergman, S Vargaftik, M Ravi, N McKeown, ...
Proceedings of the 2016 ACM SIGCOMM Conference, 230-243, 2016
1142016
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
66*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
592022
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
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
492022
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
442021
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
362021
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
302020
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
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
252023
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
232020
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
202021
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
19*2022
Persistent-Idle Load-Distribution
R Atar, I Keslassy, G Mendelson, A Orda, S Vargaftik
Stochastic Systems 10 (2), 152-169, 2020
152020
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
142022
How to Send a Real Number Using a Single Bit (And Some Shared Randomness)
R Ben-Basat, M Mitzenmacher, S Vargaftik
48th International Colloquium on Automata, Languages, and Programming (ICALP …, 2020
142020
{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
132024
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
132023
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Artikkelit 1–20