Vargaftik, Shay

6 publications

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

NeurIPS 2024 Optimal and Approximate Adaptive Stochastic Quantization Ran Ben Basat, Yaniv Ben-Itzhak, Michael Mitzenmacher, Shay Vargaftik

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

ICML 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

NeurIPS 2021 DRIVE: One-Bit Distributed Mean Estimation Shay Vargaftik, Ran Ben-Basat, Amit Portnoy, Gal Mendelson, Yaniv Ben-Itzhak, Michael Mitzenmacher

MLJ 2021 RADE: Resource-Efficient Supervised Anomaly Detection Using Decision Tree-Based Ensemble Methods Shay Vargaftik, Isaac Keslassy, Ariel Orda, Yaniv Ben-Itzhak