Natalie Lang

According to our database, Natalie Lang authored at least 7 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates.

Natalie Lang, Alejandro Cohen, Nir Shlezinger

CoRR, 2024

Data-Driven Lattices for Vector Quantization.

Natalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Joint Privacy Enhancement and Quantization in Federated Learning.

Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger

IEEE Trans. Signal Process., 2023

Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks.

Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb

CoRR, 2023

CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks.

Natalie Lang, Elad Sofer, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Joint Privacy Enhancement and Quantization in Federated Learning.

Natalie Lang, Nir Shlezinger

Proceedings of the IEEE International Symposium on Information Theory, 2022

2021

DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration.

Natalie Lang, Joseph M. Francos

Proceedings of the 32nd British Machine Vision Conference 2021, 2021