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ScionFL: Secure Quantized Aggregation for Federated Learning


Oct 13, 2022
Yaniv Ben-Itzhak, Helen Möllering, Benny Pinkas, Thomas Schneider, Ajith Suresh, Oleksandr Tkachenko, Shay Vargaftik, Christian Weinert, Hossein Yalame, Avishay Yanai


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QUIC-FL: Quick Unbiased Compression for Federated Learning


May 28, 2022
Ran Ben Basat, Shay Vargaftik, Amit Portnoy, Gil Einziger, Yaniv Ben-Itzhak, Michael Mitzenmacher


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Automating In-Network Machine Learning


May 18, 2022
Changgang Zheng, Mingyuan Zang, Xinpeng Hong, Riyad Bensoussane, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman

* (13 pages body, 19 pages total, 18 figures) 

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IIsy: Practical In-Network Classification


May 17, 2022
Changgang Zheng, Zhaoqi Xiong, Thanh T Bui, Siim Kaupmees, Riyad Bensoussane, Antoine Bernabeu, Shay Vargaftik, Yaniv Ben-Itzhak, Noa Zilberman

* (14 pages body, 19 pages total, 19 figures) 

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Communication-Efficient Federated Learning via Robust Distributed Mean Estimation


Aug 19, 2021
Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher

* A technical report that extends arXiv:2105.08339 

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DRIVE: One-bit Distributed Mean Estimation


Jun 02, 2021
Shay Vargaftik, Ran Ben Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher


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How to send a real number using a single bit (and some shared randomness)


Oct 08, 2020
Ran Ben-Basat, Michael Mitzenmacher, Shay Vargaftik


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


Sep 26, 2019
Shay Vargaftik, Isaac Keslassy, Yaniv Ben-Itzhak


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