Natalie Lang - RankMe

18 papers A 1B 1Misc 3Journal 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Memory-Efficient Distributed Unlearning. IEEE Access Natalie Lang, Alon Helvits, Nir Shlezinger
2026	J	`jnl`	Wideband THz Multi-User Downlink Communications With Leaky Wave Antennas. IEEE Trans. Wirel. Commun. Natalie Lang, Yaela Gabay, Nir Shlezinger, Tirza Routtenberg, Yasaman Ghasempour, George C. Alexandropoulos, Yonina C. Eldar
2025	J	`jnl`	Adaptive Deadline and Batch Layered Synchronized Federated Learning. CoRR Asaf Goren, Natalie Lang, Nir Shlezinger, Alejandro Cohen
2025	J	`jnl`	Compressed Private Aggregation for Scalable and Robust Federated Learning Over Massive Networks. IEEE Trans. Mob. Comput. Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb
2025	J	`jnl`	OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning. CoRR Natalie Lang, Maya Simhi, Nir Shlezinger
2025	J	`jnl`	PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning. CoRR Ori Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen
2025	J	`jnl`	PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning. IEEE Trans. Signal Process. Ori Peleg, Natalie Lang, Dan Ben Ami, Stefano Rini, Nir Shlezinger, Kobi Cohen
2025	Misc	`conf`	PAUSE: Privacy-Aware Active User Selection for Federated Learning. ICASSP Ori Peleg, Natalie Lang, Stefano Rini, Nir Shlezinger, Kobi Cohen
2025	J	`jnl`	Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates. IEEE Trans. Commun. Natalie Lang, Alejandro Cohen, Nir Shlezinger
2024	Misc	`conf`	Data-Driven Lattices for Vector Quantization. ICASSP Natalie Lang, Itamar Assaf, Omer Bokobza, Nir Shlezinger
2024	J	`jnl`	Stragglers-Aware Low-Latency Synchronous Federated Learning via Layer-Wise Model Updates. CoRR Natalie Lang, Alejandro Cohen, Nir Shlezinger
2023	Misc	`conf`	CPA: Compressed Private Aggregation for Scalable Federated Learning Over Massive Networks. ICASSP Natalie Lang, Elad Sofer, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb
2023	J	`jnl`	Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks. CoRR Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb
2023	J	`jnl`	Joint Privacy Enhancement and Quantization in Federated Learning. IEEE Trans. Signal Process. Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger
2022	B	`conf`	Joint Privacy Enhancement and Quantization in Federated Learning. ISIT Natalie Lang, Nir Shlezinger
2022	J	`jnl`	Joint Privacy Enhancement and Quantization in Federated Learning. CoRR Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger
2021	A	`conf`	DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration. BMVC Natalie Lang, Joseph M. Francos
2021	J	`jnl`	DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration. CoRR Natalie Lang, Joseph M. Francos