Shay Vargaftik

67 papers A* 13A 5Misc 5Journal 42Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce.
CoRR
Wenchen Han, Shay Vargaftik, Michael Mitzenmacher, Ran Ben Basat
2025 J jnl
Better than Optimal: Improving Adaptive Stochastic Quantization Using Shared Randomness.
Proc. ACM Meas. Anal. Comput. Syst.
Ran Ben Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher, Shay Vargaftik
2025 J jnl
Counter Pools: Counter Representation for Efficient Stream Processing.
CoRR
Ran Ben Basat, Gil Einziger, Bilal Tyah, Shay Vargaftik
2025 A* conf
HACK: Homomorphic Acceleration via Compression of the Key-Value Cache for Disaggregated LLM Inference.
SIGCOMM
Zeyu Zhang, Haiying Shen, Shay Vargaftik, Ran Ben Basat, Michael Mitzenmacher, Minlan Yu
2025 J jnl
HACK: Homomorphic Acceleration via Compression of the Key-Value Cache for Disaggregated LLM Inference.
CoRR
Zeyu Zhang, Haiying Shen, Shay Vargaftik, Ran Ben Basat, Michael Mitzenmacher, Minlan Yu
2025 J jnl
OptiNIC: A Resilient and Tail-Optimal RDMA NIC for Distributed ML Workloads.
CoRR
Ertza Warraich, Ali Imran, Annus Zulfiqar, Shay Vargaftik, Sonia Fahmy, Muhammad Shahbaz
2025 Misc conf
OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud.
NSDI
Ertza Warraich, Omer Shabtai, Khalid Manaa, Shay Vargaftik, Yonatan Piasetzky, Matty Kadosh, Lalith Suresh, Muhammad Shahbaz
2025 J jnl
Reimagining RDMA Through the Lens of ML.
IEEE Comput. Archit. Lett.
Ertza Warraich, Ali Imran, Annus Zulfiqar, Shay Vargaftik, Sonia Fahmy, Muhammad Shahbaz
2025 J jnl
Reimagining RDMA Through the Lens of ML.
CoRR
Ertza Warraich, Ali Imran, Annus Zulfiqar, Shay Vargaftik, Sonia Fahmy, Muhammad Shahbaz
2024 A* conf
Accelerating Federated Learning with Quick Distributed Mean Estimation.
ICML
Ran Ben-Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher
2024 Misc conf
Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression.
HotNets
Wenchen Han, Shay Vargaftik, Michael Mitzenmacher, Brad Karp, Ran Ben Basat
2024 J jnl
Beyond Throughput and Compression Ratios: Towards High End-to-end Utility of Gradient Compression.
CoRR
Wenchen Han, Shay Vargaftik, Michael Mitzenmacher, Brad Karp, Ran Ben Basat
2024 J jnl
IIsy: Hybrid In-Network Classification Using Programmable Switches.
IEEE/ACM Trans. Netw.
Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2024 J jnl
In-Network Machine Learning Using Programmable Network Devices: A Survey.
IEEE Commun. Surv. Tutorials
Changgang Zheng, Xinpeng Hong, Damu Ding, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2024 J jnl
Lucy: Think and Reason to Solve Text-to-SQL.
CoRR
Nina Narodytska, Shay Vargaftik
2024 A* conf
Optimal and Approximate Adaptive Stochastic Quantization.
NeurIPS
Ran Ben-Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher, Shay Vargaftik
2024 J jnl
Optimal and Near-Optimal Adaptive Vector Quantization.
CoRR
Ran Ben-Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher, Shay Vargaftik
2024 J jnl
Planter: Rapid Prototyping of In-Network Machine Learning Inference.
Comput. Commun. Rev.
Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Liam Perreault, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2024 — conf
ScionFL: Efficient and Robust Secure Quantized Aggregation.
SaTML
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
2024 Misc conf
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression.
NSDI
Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Michael Mitzenmacher, Minlan Yu
2024 Misc conf
When ML Training Cuts Through Congestion: Just-in-Time Gradient Compression via Packet Trimming.
HotNets
Xiaoqi Chen, Shay Vargaftik, Ran Ben Basat
2023 J jnl
Distributed Dispatching in the Parallel Server Model.
IEEE/ACM Trans. Netw.
Guy Goren, Shay Vargaftik, Yoram Moses
2023 A* conf
DoCoFL: Downlink Compression for Cross-Device Federated Learning.
ICML
Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Yehuda Levy
2023 J jnl
DoCoFL: Downlink Compression for Cross-Device Federated Learning.
CoRR
Ron Dorfman, Shay Vargaftik, Yaniv Ben-Itzhak, Kfir Y. Levy
2023 J jnl
ScionFL: Efficient and Robust Secure Quantized Aggregation.
IACR Cryptol. ePrint Arch.
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
2023 J jnl
Stochastic coordination in heterogeneous load balancing systems.
Distributed Comput.
Guy Goren, Shay Vargaftik, Yoram Moses
2023 J jnl
THC: Accelerating Distributed Deep Learning Using Tensor Homomorphic Compression.
CoRR
Minghao Li, Ran Ben Basat, Shay Vargaftik, ChonLam Lao, Kevin Xu, Xinran Tang, Michael Mitzenmacher, Minlan Yu
2023 J jnl
Ultima: Robust and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud.
CoRR
Ertza Warraich, Omer Shabtai, Khalid Manaa, Shay Vargaftik, Yonatan Piasetzky, Matty Kadosh, Lalith Suresh, Muhammad Shahbaz
2022 J jnl
Automating In-Network Machine Learning.
CoRR
Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2022 A* conf
EDEN: Communication-Efficient and Robust Distributed Mean Estimation for Federated Learning.
ICML
Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher
2022 — conf
Efficient multiclass classification with duet.
EuroMLSys@EuroSys
Shay Vargaftik, Yaniv Ben-Itzhak
2022 J jnl
IIsy: Practical In-Network Classification.
CoRR
Changgang Zheng, Zhaoqi Xiong, Thanh T. Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman
2022 J jnl
Memento: Making Sliding Windows Efficient for Heavy Hitters.
IEEE/ACM Trans. Netw.
Ran Ben Basat, Gil Einziger, Isaac Keslassy, Ariel Orda, Shay Vargaftik, Erez Waisbard
2022 J jnl
QUIC-FL: Quick Unbiased Compression for Federated Learning.
CoRR
Ran Ben Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher
2022 J jnl
ScionFL: Secure Quantized Aggregation for Federated Learning.
CoRR
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai
2021 J jnl
AnchorHash: A Scalable Consistent Hash.
IEEE/ACM Trans. Netw.
Gal Mendelson, Shay Vargaftik, Katherine Barabash, Dean H. Lorenz, Isaac Keslassy, Ariel Orda
2021 A conf
Characterizing, exploiting, and detecting DMA code injection vulnerabilities in the presence of an IOMMU.
EuroSys
Alex Markuze, Shay Vargaftik, Gil Kupfer, Boris Pismenny, Nadav Amit, Adam Morrison, Dan Tsafrir
2021 J jnl
Communication-Efficient Federated Learning via Robust Distributed Mean Estimation.
CoRR
Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher
2021 A* conf
DRIVE: One-bit Distributed Mean Estimation.
NeurIPS
Shay Vargaftik, Ran Ben-Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher
2021 J jnl
DRIVE: One-bit Distributed Mean Estimation.
CoRR
Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher
2021 A* conf
How to Send a Real Number Using a Single Bit (And Some Shared Randomness).
ICALP
Ran Ben Basat, Michael Mitzenmacher, Shay Vargaftik
2021 A conf
Load balancing with JET: just enough tracking for connection consistency.
CoNEXT
Gal Mendelson, Shay Vargaftik, Dean H. Lorenz, Kathy Barabash, Isaac Keslassy, Ariel Orda
2021 J jnl
RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods.
Mach. Learn.
Shay Vargaftik, Isaac Keslassy, Ariel Orda, Yaniv Ben-Itzhak
2021 A* conf
SALSA: Self-Adjusting Lean Streaming Analytics.
ICDE
Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik
2021 J jnl
SALSA: Self-Adjusting Lean Streaming Analytics.
CoRR
Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik
2021 A* conf
Stochastic Coordination in Heterogeneous Load Balancing Systems.
PODC
Guy Goren, Shay Vargaftik, Yoram Moses
2021 J jnl
Stochastic Coordination in Heterogeneous Load Balancing Systems.
CoRR
Guy Goren, Shay Vargaftik, Yoram Moses
2020 J jnl
C-share: optical circuits sharing for software-defined data-centers.
Comput. Commun. Rev.
Shay Vargaftik, Cosmin Caba, Liran Schour, Yaniv Ben-Itzhak
2020 A conf
Distributed Dispatching in the Parallel Server Model.
DISC
Guy Goren, Shay Vargaftik, Yoram Moses
2020 J jnl
Distributed Dispatching in the Parallel Server Model.
CoRR
Guy Goren, Shay Vargaftik, Yoram Moses
2020 A* conf
Faster and More Accurate Measurement through Additive-Error Counters.
INFOCOM
Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik
2020 J jnl
Faster and More Accurate Measurement through Additive-Error Counters.
CoRR
Ran Ben Basat, Gil Einziger, Michael Mitzenmacher, Shay Vargaftik
2020 J jnl
How to send a real number using a single bit (and some shared randomness).
CoRR
Ran Ben-Basat, Michael Mitzenmacher, Shay Vargaftik
2020 J jnl
LSQ: Load Balancing in Large-Scale Heterogeneous Systems With Multiple Dispatchers.
IEEE/ACM Trans. Netw.
Shay Vargaftik, Isaac Keslassy, Ariel Orda
2020 J jnl
LSQ: Load Balancing in Large-Scale Heterogeneous Systems with Multiple Dispatchers.
CoRR
Shay Vargaftik, Isaac Keslassy, Ariel Orda
2019 J jnl
RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods.
CoRR
Shay Vargaftik, Isaac Keslassy, Yaniv Ben-Itzhak
2018 J jnl
AnchorHash: A Scalable Consistent Hash.
CoRR
Gal Mendelson, Shay Vargaftik, Katherine Barabash, Dean H. Lorenz, Isaac Keslassy, Ariel Orda
2018 J jnl
LUMOS: A Fast and Efficient Optical Circuit Switch Scheduling Technique.
IEEE Commun. Lett.
Ariel Livshits, Shay Vargaftik
2018 J jnl
Memento: Making Sliding Windows Efficient for Heavy Hitters.
CoRR
Ran Ben-Basat, Gil Einziger, Isaac Keslassy, Ariel Orda, Shay Vargaftik, Erez Waisbard
2018 A conf
Memento: making sliding windows efficient for heavy hitters.
CoNEXT
Ran Ben-Basat, Gil Einziger, Isaac Keslassy, Ariel Orda, Shay Vargaftik, Erez Waisbard
2017 J jnl
No Packet Left Behind: Avoiding Starvation in Dynamic Topologies.
IEEE/ACM Trans. Netw.
Shay Vargaftik, Isaac Keslassy, Ariel Orda
2017 A* conf
Stable user-defined priorities.
INFOCOM
Shay Vargaftik, Isaac Keslassy, Ariel Orda
2017 A* conf
dRMT: Disaggregated Programmable Switching.
SIGCOMM
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
2016 J jnl
C-Share: Optical Circuits Sharing for Software-Defined Data-Centers.
CoRR
Yaniv Ben-Itzhak, Cosmin Caba, Liran Schour, Shay Vargaftik
2016 A conf
Composite-Path Switching.
CoNEXT
Shay Vargaftik, Katherine Barabash, Yaniv Ben-Itzhak, Ofer Biran, Isaac Keslassy, Dean H. Lorenz, Ariel Orda
2016 Misc conf
Optics in Data Centers: Adapting to Diverse Modern Workloads.
SYSTOR
Shay Vargaftik, Isaac Keslassy, Ariel Orda, Katherine Barabash, Yaniv Ben-Itzhak, Ofer Biran, Dean H. Lorenz
2016 A* conf
Virtualized Congestion Control.
SIGCOMM
Bryce W. Cronkite-Ratcliff, Aran Bergman, Shay Vargaftik, Madhusudhan Ravi, Nick McKeown, Ittai Abraham, Isaac Keslassy