OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning
Natalie Lang, Maya Simhi, Nir Shlezinger
Under review at IEEE Transactions on Communications, 2025. [arXiv]
Memory-Efficient Distributed Unlearning
Natalie Lang, Alon Helvits, Nir Shlezinger
Under review at IEEE Transactions on Mobile Computing, 2025. [arXiv]
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning
Ori Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen
Revision submitted for IEEE Transactions on Signal Processing, 2025. [arXiv]
Wideband THz Multi-User Downlink Communications with Leaky Wave Antennas
Natalie Lang, Yaela Gabay, Nir Shlezinger, Tirza Routtenberg, Yasaman Ghasempour, George C. Alexandropoulos, Yonina C. Eldar
Revision submitted for IEEE Transactions on Wireless Communications, 2024. [arXiv]
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks
Natalie Lang, Nir Shlezinger, Rafael G. L. D’Oliveira, Salim El Rouayheb
IEEE Transactions on Mobile Computing, 2025. [IEEE] [arXiv]
Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates
Natalie Lang, Alejandro Cohen, Nir Shlezinger
IEEE Transactions on Communications, 2025. [IEEE] [arXiv]
Joint Privacy Enhancement and Quantization in Federated Learning
Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger
IEEE Transactions on Signal Processing, 2023. [IEEE] [arXiv]
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration
Natalie Lang, Joseph M. Francos
British Machine Vision Conference (BMVC), Online, November 2021. [BMVC] [arXiv]
PAUSE: Privacy-Aware Active User Selection for Federated Learning
Ori Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Hyderabad, India, April 2025. [IEEE]
Data-Driven Lattices for Vector Quantization
Natalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, South Korea, April 2024. [IEEE]
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
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Rhodes, Greece, June 2023. [IEEE]
Joint Privacy Enhancement and Quantization in Federated Learning
Natalie Lang, Nir Shlezinger
IEEE International Symposium on Information Theory (ISIT), Espoo, Finland, June 2022. [IEEE]