Yaniv Ben-Itzhak

According to our database, Yaniv Ben-Itzhak authored at least 36 papers between 2010 and 2026.

Collaborative distances:

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

2026

A Note on TurboQuant and the Earlier DRIVE/EDEN Line of Work.

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

CoRR, April, 2026

Better than Optimal: Improving Adaptive Stochastic Quantization Using Shared Randomness.

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

Proceedings of the Abstracts of the 2026 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2026

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

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

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

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

Optimal and Approximate Adaptive Stochastic Quantization.

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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

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

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

CloudCast: Characterizing Public Clouds Connectivity.

Noga H. Rotman, Yaniv Ben-Itzhak, Aran Bergman, Israel Cidon, Igor Golikov, Alex Markuze, Eyal Zohar

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

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

2020

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

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

Comput. Commun. Rev., 2020

2019

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

Shay Vargaftik, Isaac Keslassy, Yaniv Ben-Itzhak

CoRR, 2019

2017

Cluster-Based Load Balancing for Better Network Security.

Gal Frishman, Yaniv Ben-Itzhak, Oded Margalit

Proceedings of the Workshop on Big Data Analytics and Machine Learning for Data Communication Networks, 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

Utilizing Optical Circuits in Hybrid Packet/Circuit Data-Center Networks.

Yaniv Ben-Itzhak, Cosmin Caba, José Soler

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

2015

Heterogeneous NoC Router Architecture.

Yaniv Ben-Itzhak, Israel Cidon, Avinoam Kolodny, Michael Shabun, Nir Shmuel

IEEE Trans. Parallel Distributed Syst., 2015

Average latency and link utilization analysis of heterogeneous wormhole NoCs.

Yaniv Ben-Itzhak, Israel Cidon, Avinoam Kolodny

Integr., 2015

NoEncap: overlay network virtualization with no encapsulation overheads.

Sergey Guenender, Katherine Barabash, Yaniv Ben-Itzhak, Anna Levin, Eran Raichstein, Liran Schour

Proceedings of the 1st ACM SIGCOMM Symposium on Software Defined Networking Research, 2015

EnforSDN: Network policies enforcement with SDN.

Yaniv Ben-Itzhak, Katherine Barabash, Rami Cohen, Anna Levin, Eran Raichstein

Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Networking Architecture for Seamless Cloud Interoperability.

Anna Levin, Katherine Barabash, Yaniv Ben-Itzhak, Sergey Guenender, Liran Schour

Proceedings of the 8th IEEE International Conference on Cloud Computing, 2015

2012

Optimizing heterogeneous NoC design.

Yaniv Ben-Itzhak, Israel Cidon, Avinoam Kolodny

Proceedings of the International Workshop on System Level Interconnect Prediction, 2012

HNOCS: Modular open-source simulator for Heterogeneous NoCs.

Yaniv Ben-Itzhak, Eitan Zahavi, Israel Cidon, Avinoam Kolodny

Proceedings of the 2012 International Conference on Embedded Computer Systems: Architectures, 2012

2011

NoCs simulation framework for OMNeT++.

Yaniv Ben-Itzhak, Eitan Zahavi, Israel Cidon, Avinoam Kolodny

Proceedings of the NOCS 2011, 2011

Delay analysis of wormhole based heterogeneous NoC.

Yaniv Ben-Itzhak, Israel Cidon, Avinoam Kolodny

Proceedings of the NOCS 2011, 2011

2010

Performance and Power Aware CMP Thread Allocation Modeling.

Yaniv Ben-Itzhak, Israel Cidon, Avinoam Kolodny

Proceedings of the High Performance Embedded Architectures and Compilers, 2010