Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Subbu Subramaniam"'
Autor:
Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad
Publikováno v:
The Journal of Privacy and Confidentiality, Vol 11, Iss 3 (2021)
We present a privacy system that leverages differential privacy to protect LinkedIn members' data while also providing audience engagement insights to enable marketing analytics related applications. We detail the differentially private algorithms an
Externí odkaz:
https://doaj.org/article/88e6c22068f24a9aaff8dbba6710dca4
Autor:
Ryan Rogers, Subbu Subramaniam, Sean Peng, David Durfee, Seunghyun Lee, Santosh Kumar Kancha, Shraddha Sahay, Parvez Ahammad
We present a privacy system that leverages differential privacy to protect LinkedIn members' data while also providing audience engagement insights to enable marketing analytics related applications. We detail the differentially private algorithms an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c360d3d6484dd19ddf14b60596f22f0
http://arxiv.org/abs/2002.05839
http://arxiv.org/abs/2002.05839
Autor:
Mayank Shrivastava, Subbu Subramaniam, Seunghyun Lee, Adwait Tumbde, Kishore Gopalakrishna, Jialiang Li, Jennifer Dai, Jean-Francois Im, Ravi Aringunram, Neha Pawar, Xiaotian Jiang
Publikováno v:
SIGMOD Conference
Modern users demand analytical features on fresh, real time data. Offering these analytical features to hundreds of millions of users is a relevant problem encountered by many large scale web companies. Relational databases and key-value stores can b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbe4bb970f03caeb1a9672d6bc0b0242
https://doi.org/10.1145/3183713.3190661
https://doi.org/10.1145/3183713.3190661
Autor:
Subbu Subramaniam, Chavdar Botev, Chaoyue Xiong, Haricharan Ramachandra, Badrinath K. Sridharan, Cuong Tran, Zhenyun Zhuang
Publikováno v:
ICPE
Internet companies like LinkedIn handle a large amount of incoming web traffic. Events generated in response to user input or actions are stored in a source database. These database events feature the typical characteristics of Big Data: high volume,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1bf55df0eae0f765f224ad9b530143c
https://doi.org/10.1145/2668930.2688054
https://doi.org/10.1145/2668930.2688054
Autor:
Chris Beaver, Abraham Sebastian, Alexander Pachev, Swaroop Jgadish, Cuong Tran, Yun Sun, Bob Schulman, Aditya Auradar, Sajid Topiwala, Rupa Shanbhag, Lin Qiao, Oliver Nicholas Seeliger, Kapil Surlaker, David Zhang, Aditya Ramesh, Gregory Brandt, Subbu Subramaniam, Mihir Gandhi, Jemiah Westerman, Shirshanka Das, Zhen Zhang, Shi Lu, Wai Ip, Antony Curtis, Kishore Gopalakrishna, Thomas J. Quiggle, Bhaskar Ghosh
Publikováno v:
SIGMOD Conference
Espresso is a document-oriented distributed data serving platform that has been built to address LinkedIn's requirements for a scalable, performant, source-of-truth primary store. It provides a hierarchical document model, transactional support for m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55a51cb492aad5118778e83c200ad339
https://doi.org/10.1145/2463676.2465298
https://doi.org/10.1145/2463676.2465298
Autor:
Alexander Pachev, Balaji Varadarajan, Kapil Surlaker, Chavdar Botev, Phanindra Ganti, Naveen Somasundaram, David Zhang, Bhaskar Ghosh, Boris Shkolnik, Jemiah Westerman, Sunil Nagaraj, Shirshanka Das, Lei Gao, Sajid Topiwala, Subbu Subramaniam
Publikováno v:
SoCC
In Internet architectures, data systems are typically categorized into source-of-truth systems that serve as primary stores for the user-generated writes, and derived data stores or indexes which serve reads and other complex queries. The data in the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4776126ee4c9ffa0d1f9662cb8f8533
https://doi.org/10.1145/2391229.2391247
https://doi.org/10.1145/2391229.2391247