A generic decentralized trust management framework. - Roy Friedman; Amit Portnoy (Softw. Pract. Exp., 2015)

Towards Realistic Byzantine-Robust Federated Learning. - Amit Portnoy; Danny Hendler (CoRR, 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)

SDR: Efficient Neural Re-ranking using Succinct Document Representation. - Nachshon Cohen; Amit Portnoy; Besnik Fetahu; Amir Ingber (ACL (1), 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)

QUIC-FL: Quick Unbiased Compression for Federated Learning. - Ran Ben Basat; Shay Vargaftik; Amit Portnoy; Gil Einziger; Yaniv Ben-Itzhak; Michael Mitzenmacher (CoRR, 2022)

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

Towards Automatic Hands-on-Keyboard Attack Detection Using LLMs in EDR Solutions. - Amit Portnoy; Ehud Azikri; Shay Kels (CoRR, 2024)