| 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 | 192 | 2017 |
| Virtualized congestion control B Cronkite-Ratcliff, A Bergman, S Vargaftik, M Ravi, N McKeown, ... Proceedings of the 2016 ACM SIGCOMM Conference, 230-243, 2016 | 111 | 2016 |
| 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 | 54* | 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 | 52 | 2022 |
| 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 | 47 | 2018 |
| 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 | 38* | 2022 |
| 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 | 35 | 2021 |
| 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 | 34 | 2021 |
| 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 | 30 | 2020 |
| 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 | 23 | 2021 |
| 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 | 23 | 2020 |
| 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 | 21 | 2020 |
| 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 | 19 | 2021 |
| 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 | 18 | 2023 |
| 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 | 17* | 2022 |
| Persistent-Idle Load-Distribution R Atar, I Keslassy, G Mendelson, A Orda, S Vargaftik Stochastic Systems 10 (2), 152-169, 2020 | 15 | 2020 |
| 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 | 13 | 2020 |
| C-Share: Optical Circuits Sharing for Software-Defined Data-Centers S Vargaftik, C Caba, L Schour, Y Ben-Itzhak ACM SIGCOMM Computer Communication Review 50 (1), 2-9, 2020 | 13* | 2020 |
| 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 | 12 | 2023 |
| 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 | 12 | 2022 |
Yaniv Ben-ItzhakVMware ResearchVerified email at vmware.com
