Privacy Budget Allocation
Privacy Budget Allocation is a method in differential privacy that determines how a fixed privacy budget is distributed across multiple queries or computations to balance utility and privacy guarantees.
67
Publications
4K
Citations
283
Authors
133
Institutions
Publications per year
2017–2026
57
Parents
67
Prashanth Mohan, Abhradeep Thakurta, Elaine Shi et al. · 2012 · 221 citations
Federated Learning with Bayesian Differential Privacy
Aleksei Triastcyn, Boi Faltings · 2019 · 199 citations · Full text
Differentially Private Model Publishing for Deep Learning
2019 · 188 citations · Full text
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133

Pennsylvania State University
State College, United States
3 h-index
3 publications
421 citations
Nanjing University of Posts and Telecommunications
Nanjing, China
3 h-index
10 publications
264 citations

Xidian University
Xi'an, China
3 h-index
13 publications
505 citations
Nanjing University of Science and Technology
Nanjing, China
3 h-index
7 publications
580 citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
3 h-index
5 publications
311 citations

Zhejiang University
Hangzhou, China
3 h-index
3 publications
137 citations
Swinburne University of Technology
Melbourne, Australia
3 h-index
13 publications
1.4K citations
Zhejiang Lab
Hangzhou, China
3 h-index
3 publications
253 citations
1–8 of 133
7 publications · 182 citations
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Repository · 6 publications · 282 citations
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5 publications · 391 citations
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4 publications · 330 citations
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TKDE · 2 publications · 146 citations
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