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Natalie Lang
ORCID
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 7
Top Topics
Unsupervised Learning
Connectionist Networks
Manifold Embedding
Point Cloud
Top Venues
CoRR
ISIT
ICASSP
BMVC
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Publications
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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)