Distributed deep neural network training on edge devices. - Daniel Benditkis; Aviv Keren; Liron Mor-Yosef; Tomer Avidor; Neta Shoham; Nadav Tal-Israel (SEC, 2019)

Overcoming Forgetting in Federated Learning on Non-IID Data. - Neta Shoham; Tomer Avidor; Aviv Keren; Nadav Israel; Daniel Benditkis; Liron Mor-Yosef; Itai Zeitak (CoRR, 2019)

Scaling Neural Tangent Kernels via Sketching and Random Features. - Amir Zandieh; Insu Han; Haim Avron; Neta Shoham; Chaewon Kim; Jinwoo Shin (NeurIPS, 2021)

Random Features for the Neural Tangent Kernel. - Insu Han; Haim Avron; Neta Shoham; Chaewon Kim; Jinwoo Shin (CoRR, 2021)

An Exploration into why Output Regularization Mitigates Label Noise. - Neta Shoham; Tomer Avidor; Nadav Israel (CoRR, 2021)

Experimental Design for Overparameterized Learning With Application to Single Shot Deep Active Learning. - Neta Shoham; Haim Avron (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Flatness After All? - Neta Shoham; Liron Mor-Yosef; Haim Avron (CoRR, 2025)