Performance and Power Aware CMP Thread Allocation Modeling. - Yaniv Ben-Itzhak; Israel Cidon; Avinoam Kolodny (HiPEAC, 2010)

Delay analysis of wormhole based heterogeneous NoC. - Yaniv Ben-Itzhak; Israel Cidon; Avinoam Kolodny (NOCS, 2011)

NoCs simulation framework for OMNeT++. - Yaniv Ben-Itzhak; Eitan Zahavi; Israel Cidon; Avinoam Kolodny (NOCS, 2011)

HNOCS: Modular open-source simulator for Heterogeneous NoCs. - Yaniv Ben-Itzhak; Eitan Zahavi; Israel Cidon; Avinoam Kolodny (ICSAMOS, 2012)

Optimizing heterogeneous NoC design. - Yaniv Ben-Itzhak; Israel Cidon; Avinoam Kolodny (SLIP, 2012)

Networking Architecture for Seamless Cloud Interoperability. - Anna Levin; Katherine Barabash; Yaniv Ben-Itzhak; Sergey Guenender; Liran Schour (CLOUD, 2015)

EnforSDN: Network policies enforcement with SDN. - Yaniv Ben-Itzhak; Katherine Barabash; Rami Cohen; Anna Levin; Eran Raichstein (IM, 2015)

NoEncap: overlay network virtualization with no encapsulation overheads. - Sergey Guenender; Katherine Barabash; Yaniv Ben-Itzhak; Anna Levin; Eran Raichstein; Liran Schour (SOSR, 2015)

Average latency and link utilization analysis of heterogeneous wormhole NoCs. - Yaniv Ben-Itzhak; Israel Cidon; Avinoam Kolodny (Integr., 2015)

Heterogeneous NoC Router Architecture. - Yaniv Ben-Itzhak; Israel Cidon; Avinoam Kolodny; Michael Shabun; Nir Shmuel (IEEE Trans. Parallel Distributed Syst., 2015)

Composite-Path Switching. - Shay Vargaftik; Katherine Barabash; Yaniv Ben-Itzhak; Ofer Biran; Isaac Keslassy; Dean H. Lorenz; Ariel Orda (CoNEXT, 2016)

Utilizing Optical Circuits in Hybrid Packet/Circuit Data-Center Networks. - Yaniv Ben-Itzhak; Cosmin Caba; José Soler (SYSTOR, 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 (SYSTOR, 2016)

Cluster-Based Load Balancing for Better Network Security. - Gal Frishman; Yaniv Ben-Itzhak; Oded Margalit (Big-DAMA@SIGCOMM, 2017)

RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods. - Shay Vargaftik; Isaac Keslassy; Yaniv Ben-Itzhak (CoRR, 2019)

C-share: optical circuits sharing for software-defined data-centers. - Shay Vargaftik; Cosmin Caba; Liran Schour; Yaniv Ben-Itzhak (Comput. Commun. Rev., 2020)

DRIVE: One-bit Distributed Mean Estimation. - Shay Vargaftik; Ran Ben-Basat; Amit Portnoy; Gal Mendelson; Yaniv Ben-Itzhak; Michael Mitzenmacher (NeurIPS, 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)

RADE: resource-efficient supervised anomaly detection using decision tree-based ensemble methods. - Shay Vargaftik; Isaac Keslassy; Ariel Orda; Yaniv Ben-Itzhak (Mach. Learn., 2021)

Efficient multiclass classification with duet. - Shay Vargaftik; Yaniv Ben-Itzhak (EuroMLSys@EuroSys, 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 (ICML, 2022)

CloudCast: Characterizing Public Clouds Connectivity. - Noga H. Rotman; Yaniv Ben-Itzhak; Aran Bergman; Israel Cidon; Igor Golikov; Alex Markuze; Eyal Zohar (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)

Automating In-Network Machine Learning. - Changgang Zheng; Mingyuan Zang; Xinpeng Hong; Riyad Bensoussane; Shay Vargaftik; Yaniv Ben-Itzhak; Noa Zilberman (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)

ScionFL: Secure Quantized Aggregation for Federated Learning. - Yaniv Ben-Itzhak; Helen Möllering; Benny Pinkas; Thomas Schneider 003; Ajith Suresh; Oleksandr Tkachenko; Shay Vargaftik; Christian Weinert; Hossein Yalame; Avishay Yanai (CoRR, 2022)

DoCoFL: Downlink Compression for Cross-Device Federated Learning. - Ron Dorfman; Shay Vargaftik; Yaniv Ben-Itzhak; Kfir Yehuda Levy (ICML, 2023)

ScionFL: Efficient and Robust Secure Quantized Aggregation. - Yaniv Ben-Itzhak; Helen Möllering; Benny Pinkas; Thomas Schneider 003; Ajith Suresh; Oleksandr Tkachenko; Shay Vargaftik; Christian Weinert; Hossein Yalame; Avishay Yanai (IACR Cryptol. ePrint Arch., 2023)

Accelerating Federated Learning with Quick Distributed Mean Estimation. - Ran Ben-Basat; Shay Vargaftik; Amit Portnoy; Gil Einziger; Yaniv Ben-Itzhak; Michael Mitzenmacher (ICML, 2024)

Optimal and Approximate Adaptive Stochastic Quantization. - Ran Ben-Basat; Yaniv Ben-Itzhak; Michael Mitzenmacher; Shay Vargaftik (NeurIPS, 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)

Optimal and Near-Optimal Adaptive Vector Quantization. - Ran Ben-Basat; Yaniv Ben-Itzhak; Michael Mitzenmacher; Shay Vargaftik (CoRR, 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., 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., 2024)