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2020 – today
- 2024
[j12]Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Liam Perreault, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman:
Planter: Rapid Prototyping of In-Network Machine Learning Inference. Comput. Commun. Rev. 54(1): 2-21 (2024)- [j11]Changgang Zheng
, Xinpeng Hong, Damu Ding, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman:
In-Network Machine Learning Using Programmable Network Devices: A Survey. IEEE Commun. Surv. Tutorials 26(2): 1171-1200 (2024) - [j10]Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman:
IIsy: Hybrid In-Network Classification Using Programmable Switches. IEEE/ACM Trans. Netw. 32(3): 2555-2570 (2024) - [c22]Xiaoqi Chen, Shay Vargaftik, Ran Ben Basat:
When ML Training Cuts Through Congestion: Just-in-Time Gradient Compression via Packet Trimming. HotNets 2024: 177-185 - [c21]Wenchen Han, Shay Vargaftik, Michael Mitzenmacher, Brad Karp, Ran Ben Basat:
Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression. HotNets 2024: 186-194 - [c20]Ran Ben-Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher:
Accelerating Federated Learning with Quick Distributed Mean Estimation. ICML 2024 - [c19]Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Michael Mitzenmacher, Minlan Yu:
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression. NSDI 2024 - [c18]Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai:
ScionFL: Efficient and Robust Secure Quantized Aggregation. SaTML 2024: 490-511 - [i23]Ran Ben-Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher, Shay Vargaftik:
Optimal and Near-Optimal Adaptive Vector Quantization. CoRR abs/2402.03158 (2024) - [i22]Wenchen Han, Shay Vargaftik, Michael Mitzenmacher, Brad Karp, Ran Ben Basat:
Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression. CoRR abs/2407.01378 (2024) - [i21]Nina Narodytska, Shay Vargaftik:
Lucy: Think and Reason to Solve Text-to-SQL. CoRR abs/2407.05153 (2024) - 2023
- [j9]Guy Goren, Shay Vargaftik, Yoram Moses:
Stochastic coordination in heterogeneous load balancing systems. Distributed Comput. 36(3): 253-275 (2023) - [j8]Guy Goren, Shay Vargaftik, Yoram Moses:
Distributed Dispatching in the Parallel Server Model. IEEE/ACM Trans. Netw. 31(4): 1521-1534 (2023) - [c17]Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy:
DoCoFL: Downlink Compression for Cross-Device Federated Learning. ICML 2023: 8356-8388 - [i20]Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Y. Levy:
DoCoFL: Downlink Compression for Cross-Device Federated Learning. CoRR abs/2302.00543 (2023) - [i19]Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Xinran Tang, Michael Mitzenmacher, Minlan Yu:
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression. CoRR abs/2302.08545 (2023) - [i18]Ertza Warraich, Omer Shabtai, Khalid Manaa, Shay Vargaftik, Yonatan Piasetzky, Matty Kadosh, Lalith Suresh, Muhammad Shahbaz:
Ultima: Robust and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud. CoRR abs/2310.06993 (2023) - [i17]Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai:
ScionFL: Efficient and Robust Secure Quantized Aggregation. IACR Cryptol. ePrint Arch. 2023: 652 (2023) - 2022
- [j7]Ran Ben Basat, Gil Einziger, Isaac Keslassy, Ariel Orda, Shay Vargaftik, Erez Waisbard:
Memento: Making Sliding Windows Efficient for Heavy Hitters. IEEE/ACM Trans. Netw. 30(4): 1440-1453 (2022) - [c16]Shay Vargaftik, Yaniv Ben-Itzhak:
Efficient multiclass classification with duet. EuroMLSys@EuroSys 2022: 10-19 - [c15]Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher:
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning. ICML 2022: 21984-22014 - [i16]Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman:
IIsy: Practical In-Network Classification. CoRR abs/2205.08243 (2022) - [i15]Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman:
Automating In-Network Machine Learning. CoRR abs/2205.08824 (2022) - [i14]Ran Ben Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher:
QUIC-FL: Quick Unbiased Compression for Federated Learning. CoRR abs/2205.13341 (2022) - [i13]Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai:
ScionFL: Secure Quantized Aggregation for Federated Learning. CoRR abs/2210.07376 (2022) - 2021
- [j6]Shay Vargaftik, Isaac Keslassy, Ariel Orda, Yaniv Ben-Itzhak:
RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods. Mach. Learn. 110(10): 2835-2866 (2021) - [j5]Gal Mendelson, Shay Vargaftik, Katherine Barabash, Dean H. Lorenz, Isaac Keslassy, Ariel Orda:
AnchorHash: A Scalable Consistent Hash. IEEE/ACM Trans. Netw. 29(2): 517-528 (2021) - [c14]Gal Mendelson, Shay Vargaftik, Dean H. Lorenz, Kathy Barabash, Isaac Keslassy, Ariel Orda:
Load balancing with JET: just enough tracking for connection consistency. CoNEXT 2021: 191-204 - [c13]Alex Markuze, Shay Vargaftik, Gil Kupfer, Boris Pismenny, Nadav Amit, Adam Morrison, Dan Tsafrir:
Characterizing, exploiting, and detecting DMA code injection vulnerabilities in the presence of an IOMMU. EuroSys 2021: 395-409 - [c12]Ran Ben Basat, Michael Mitzenmacher, Shay Vargaftik:
How to Send a Real Number Using a Single Bit (And Some Shared Randomness). ICALP 2021: 25:1-25:20 - [c11]Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik:
SALSA: Self-Adjusting Lean Streaming Analytics. ICDE 2021: 864-875 - [c10]Shay Vargaftik, Ran Ben-Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher:
DRIVE: One-bit Distributed Mean Estimation. NeurIPS 2021: 362-377 - [c9]Guy Goren, Shay Vargaftik, Yoram Moses:
Stochastic Coordination in Heterogeneous Load Balancing Systems. PODC 2021: 403-414 - [i12]Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik:
SALSA: Self-Adjusting Lean Streaming Analytics. CoRR abs/2102.12531 (2021) - [i11]Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher:
DRIVE: One-bit Distributed Mean Estimation. CoRR abs/2105.08339 (2021) - [i10]Guy Goren, Shay Vargaftik, Yoram Moses:
Stochastic Coordination in Heterogeneous Load Balancing Systems. CoRR abs/2105.09389 (2021) - [i9]Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher:
Communication-Efficient Federated Learning via Robust Distributed Mean Estimation. CoRR abs/2108.08842 (2021) - 2020
- [j4]Shay Vargaftik, Cosmin Caba, Liran Schour, Yaniv Ben-Itzhak:
C-share: optical circuits sharing for software-defined data-centers. Comput. Commun. Rev. 50(1): 2-9 (2020) - [j3]Shay Vargaftik, Isaac Keslassy, Ariel Orda:
LSQ: Load Balancing in Large-Scale Heterogeneous Systems With Multiple Dispatchers. IEEE/ACM Trans. Netw. 28(3): 1186-1198 (2020) - [c8]Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik:
Faster and More Accurate Measurement through Additive-Error Counters. INFOCOM 2020: 1251-1260 - [c7]Guy Goren, Shay Vargaftik, Yoram Moses:
Distributed Dispatching in the Parallel Server Model. DISC 2020: 14:1-14:18 - [i8]Shay Vargaftik, Isaac Keslassy, Ariel Orda:
LSQ: Load Balancing in Large-Scale Heterogeneous Systems with Multiple Dispatchers. CoRR abs/2003.02368 (2020) - [i7]Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik:
Faster and More Accurate Measurement through Additive-Error Counters. CoRR abs/2004.10332 (2020) - [i6]Guy Goren, Shay Vargaftik, Yoram Moses:
Distributed Dispatching in the Parallel Server Model. CoRR abs/2008.00793 (2020) - [i5]Ran Ben-Basat, Michael Mitzenmacher, Shay Vargaftik:
How to send a real number using a single bit (and some shared randomness). CoRR abs/2010.02331 (2020)
2010 – 2019
- 2019
- [i4]Shay Vargaftik, Isaac Keslassy, Yaniv Ben-Itzhak:
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods. CoRR abs/1909.11877 (2019) - 2018
- [j2]Ariel Livshits, Shay Vargaftik:
LUMOS: A Fast and Efficient Optical Circuit Switch Scheduling Technique. IEEE Commun. Lett. 22(10): 2028-2031 (2018) - [c6]Ran Ben-Basat, Gil Einziger, Isaac Keslassy, Ariel Orda, Shay Vargaftik, Erez Waisbard:
Memento: making sliding windows efficient for heavy hitters. CoNEXT 2018: 254-266 - [i3]Ran Ben-Basat, Gil Einziger, Isaac Keslassy, Ariel Orda, Shay Vargaftik, Erez Waisbard:
Memento: Making Sliding Windows Efficient for Heavy Hitters. CoRR abs/1810.02899 (2018) - [i2]Gal Mendelson, Shay Vargaftik, Katherine Barabash, Dean H. Lorenz, Isaac Keslassy, Ariel Orda:
AnchorHash: A Scalable Consistent Hash. CoRR abs/1812.09674 (2018) - 2017
- [j1]Shay Vargaftik, Isaac Keslassy, Ariel Orda:
No Packet Left Behind: Avoiding Starvation in Dynamic Topologies. IEEE/ACM Trans. Netw. 25(4): 2571-2584 (2017) - [c5]Shay Vargaftik, Isaac Keslassy, Ariel Orda:
Stable user-defined priorities. INFOCOM 2017: 1-9 - [c4]Sharad Chole, Andy Fingerhut, Sha Ma, Anirudh Sivaraman, Shay Vargaftik, Alon Berger, Gal Mendelson, Mohammad Alizadeh, Shang-Tse Chuang, Isaac Keslassy, Ariel Orda, Tom Edsall:
dRMT: Disaggregated Programmable Switching. SIGCOMM 2017: 1-14 - 2016
- [c3]Shay Vargaftik, Katherine Barabash, Yaniv Ben-Itzhak, Ofer Biran, Isaac Keslassy, Dean H. Lorenz, Ariel Orda:
Composite-Path Switching. CoNEXT 2016: 329-343 - [c2]Bryce W. Cronkite-Ratcliff, Aran Bergman, Shay Vargaftik, Madhusudhan Ravi, Nick McKeown, Ittai Abraham, Isaac Keslassy:
Virtualized Congestion Control. SIGCOMM 2016: 230-243 - [c1]Shay Vargaftik, Isaac Keslassy, Ariel Orda, Katherine Barabash, Yaniv Ben-Itzhak, Ofer Biran, Dean H. Lorenz:
Optics in Data Centers: Adapting to Diverse Modern Workloads. SYSTOR 2016: 28:1 - [i1]Yaniv Ben-Itzhak, Cosmin Caba, Liran Schour, Shay Vargaftik:
C-Share: Optical Circuits Sharing for Software-Defined Data-Centers. CoRR abs/1609.04521 (2016)
Coauthor Index
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last updated on 2024-12-02 21:31 CET by the dblp team
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