Shay Vargaftik

According to our database, Shay Vargaftik authored at least 41 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

IIsy: Hybrid In-Network Classification Using Programmable Switches.

Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman

IEEE/ACM Trans. Netw., June, 2024

Planter: Rapid Prototyping of In-Network Machine Learning Inference.

Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Liam Perreault, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman

Comput. Commun. Rev., January, 2024

Lucy: Think and Reason to Solve Text-to-SQL.

Nina Narodytska, Shay Vargaftik

CoRR, 2024

Optimal and Near-Optimal Adaptive Vector Quantization.

Ran Ben-Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher, Shay Vargaftik

CoRR, 2024

In-Network Machine Learning Using Programmable Network Devices: A Survey.

Changgang Zheng, Xinpeng Hong, Damu Ding, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman

IEEE Commun. Surv. Tutorials, 2024

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression.

Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Michael Mitzenmacher, Minlan Yu

Proceedings of the 21st USENIX Symposium on Networked Systems Design and Implementation, 2024

Accelerating Federated Learning with Quick Distributed Mean Estimation.

Ran Ben-Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression.

Wenchen Han, Shay Vargaftik, Michael Mitzenmacher, Brad Karp, Ran Ben Basat

Proceedings of the 23rd ACM Workshop on Hot Topics in Networks, 2024

When ML Training Cuts Through Congestion: Just-in-Time Gradient Compression via Packet Trimming.

Xiaoqi Chen, Shay Vargaftik, Ran Ben Basat

Proceedings of the 23rd ACM Workshop on Hot Topics in Networks, 2024

2023

Stochastic coordination in heterogeneous load balancing systems.

Guy Goren, Shay Vargaftik, Yoram Moses

Distributed Comput., September, 2023

Distributed Dispatching in the Parallel Server Model.

Guy Goren, Shay Vargaftik, Yoram Moses

IEEE/ACM Trans. Netw., August, 2023

ScionFL: Efficient and Robust Secure Quantized Aggregation.

Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai

IACR Cryptol. ePrint Arch., 2023

Ultima: Robust and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud.

Ertza Warraich, Omer Shabtai, Khalid Manaa, Shay Vargaftik, Yonatan Piasetzky, Matty Kadosh, Lalith Suresh, Muhammad Shahbaz

CoRR, 2023

THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression.

Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Xinran Tang, Michael Mitzenmacher, Minlan Yu

CoRR, 2023

DoCoFL: Downlink Compression for Cross-Device Federated Learning.

Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy

Proceedings of the International Conference on Machine Learning, 2023

2022

Memento: Making Sliding Windows Efficient for Heavy Hitters.

Ran Ben Basat, Gil Einziger, Isaac Keslassy, Ariel Orda, Shay Vargaftik, Erez Waisbard

IEEE/ACM Trans. Netw., 2022

ScionFL: Secure Quantized Aggregation for Federated Learning.

Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai

CoRR, 2022

QUIC-FL: Quick Unbiased Compression for Federated Learning.

Ran Ben Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher

CoRR, 2022

Automating In-Network Machine Learning.

Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman

CoRR, 2022

IIsy: Practical In-Network Classification.

Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman

CoRR, 2022

EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning.

Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher

Proceedings of the International Conference on Machine Learning, 2022

Efficient multiclass classification with duet.

Shay Vargaftik, Yaniv Ben-Itzhak

Proceedings of the EuroMLSys '22: Proceedings of the 2nd European Workshop on Machine Learning and Systems, Rennes, France, April 5, 2022

2021

AnchorHash: A Scalable Consistent Hash.

Gal Mendelson, Shay Vargaftik, Katherine Barabash, Dean H. Lorenz, Isaac Keslassy, Ariel Orda

IEEE/ACM Trans. Netw., 2021

RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods.

Shay Vargaftik, Isaac Keslassy, Ariel Orda, Yaniv Ben-Itzhak

Mach. Learn., 2021

Communication-Efficient Federated Learning via Robust Distributed Mean Estimation.

Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher

CoRR, 2021

DRIVE: One-bit Distributed Mean Estimation.

Shay Vargaftik, Ran Ben-Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

SALSA: Self-Adjusting Lean Streaming Analytics.

Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

How to Send a Real Number Using a Single Bit (And Some Shared Randomness).

Ran Ben Basat, Michael Mitzenmacher, Shay Vargaftik

Proceedings of the 48th International Colloquium on Automata, Languages, and Programming, 2021

Characterizing, exploiting, and detecting DMA code injection vulnerabilities in the presence of an IOMMU.

Alex Markuze, Shay Vargaftik, Gil Kupfer, Boris Pismenny, Nadav Amit, Adam Morrison, Dan Tsafrir

Proceedings of the EuroSys '21: Sixteenth European Conference on Computer Systems, 2021

Load balancing with JET: just enough tracking for connection consistency.

Gal Mendelson, Shay Vargaftik, Dean H. Lorenz, Kathy Barabash, Isaac Keslassy, Ariel Orda

Proceedings of the CoNEXT '21: The 17th International Conference on emerging Networking EXperiments and Technologies, Virtual Event, Munich, Germany, December 7, 2021

2020

LSQ: Load Balancing in Large-Scale Heterogeneous Systems With Multiple Dispatchers.

Shay Vargaftik, Isaac Keslassy, Ariel Orda

IEEE/ACM Trans. Netw., 2020

C-share: optical circuits sharing for software-defined data-centers.

Shay Vargaftik, Cosmin Caba, Liran Schour, Yaniv Ben-Itzhak

Comput. Commun. Rev., 2020

Faster and More Accurate Measurement through Additive-Error Counters.

Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods.

Shay Vargaftik, Isaac Keslassy, Yaniv Ben-Itzhak

CoRR, 2019

2018

LUMOS: A Fast and Efficient Optical Circuit Switch Scheduling Technique.

Ariel Livshits, Shay Vargaftik

IEEE Commun. Lett., 2018

2017

No Packet Left Behind: Avoiding Starvation in Dynamic Topologies.

Shay Vargaftik, Isaac Keslassy, Ariel Orda

IEEE/ACM Trans. Netw., 2017

dRMT: Disaggregated Programmable Switching.

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

Proceedings of the Conference of the ACM Special Interest Group on Data Communication, 2017

Stable user-defined priorities.

Shay Vargaftik, Isaac Keslassy, Ariel Orda

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

2016

Optics in Data Centers: Adapting to Diverse Modern Workloads.

Shay Vargaftik, Isaac Keslassy, Ariel Orda, Katherine Barabash, Yaniv Ben-Itzhak, Ofer Biran, Dean H. Lorenz

Proceedings of the 9th ACM International on Systems and Storage Conference, 2016

Virtualized Congestion Control.

Bryce W. Cronkite-Ratcliff, Aran Bergman, Shay Vargaftik, Madhusudhan Ravi, Nick McKeown, Ittai Abraham, Isaac Keslassy

Proceedings of the ACM SIGCOMM 2016 Conference, Florianopolis, Brazil, August 22-26, 2016, 2016

Composite-Path Switching.

Shay Vargaftik, Katherine Barabash, Yaniv Ben-Itzhak, Ofer Biran, Isaac Keslassy, Dean H. Lorenz, Ariel Orda

Proceedings of the 12th International on Conference on emerging Networking EXperiments and Technologies, 2016