Amit Portnoy

11 papers A* 3Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
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 J jnl
Towards Automatic Hands-on-Keyboard Attack Detection Using LLMs in EDR Solutions.
CoRR
Amit Portnoy, Ehud Azikri, Shay Kels
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 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 — conf
SDR: Efficient Neural Re-ranking using Succinct Document Representation.
ACL (1)
Nachshon Cohen, Amit Portnoy, Besnik Fetahu, Amir Ingber
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 J jnl
SDR: Efficient Neural Re-ranking using Succinct Document Representation.
CoRR
Nachshon Cohen, Amit Portnoy, Besnik Fetahu, Amir Ingber
2020 J jnl
Towards Realistic Byzantine-Robust Federated Learning.
CoRR
Amit Portnoy, Danny Hendler
2015 J jnl
A generic decentralized trust management framework.
Softw. Pract. Exp.
Roy Friedman, Amit Portnoy