Natalie Lang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 9

Top Topics

Active Learning

Vector Quantizer

Distortion Measure

Top Venues

Publications

Natalie Lang, Alejandro Cohen, Nir Shlezinger
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates. CoRR (2024)
Natalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger
Data-Driven Lattices for Vector Quantization. ICASSP (2024)
Natalie Lang, Elad Sofer, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb
CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks. ICASSP (2023)
Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks. CoRR (2023)
Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger
Joint Privacy Enhancement and Quantization in Federated Learning. IEEE Trans. Signal Process. 71 (2023)
Natalie Lang, Nir Shlezinger
Joint Privacy Enhancement and Quantization in Federated Learning. ISIT (2022)
Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger
Joint Privacy Enhancement and Quantization in Federated Learning. CoRR (2022)
Natalie Lang, Joseph M. Francos
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration. CoRR (2021)
Natalie Lang, Joseph M. Francos
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration. BMVC (2021)