WA3b.1

On the Privacy-Distortion Trade-off for Differentially-Private Stochastic Quantization

Dang Qua Nguyen, University of Kansas, United States; Taejoon Kim, Arizona State University, United States
Session:
WA3b: Distributed Algorithms and Optimization Lecture
Track:
Networks and Graphs
Location:
Scripps
Presentation Time:
Wed, 29 Oct, 10:15 - 10:40 PT (UTC -7)
Presentation
Discussion
Resources
No resources available.
Session WA3b
WA3b.1: On the Privacy-Distortion Trade-off for Differentially-Private Stochastic Quantization
Dang Qua Nguyen, University of Kansas, United States; Taejoon Kim, Arizona State University, United States
WA3b.2: Distributed Dual Coordinate Ascent in a Ring Network for Distributed Machine Learning Process
Myung Cho, Sara Ali, Marjan Asadinia, California State University, Northridge, United States; Lifeng Lai, University of California, Davis, United States; Weiyu Xu, University of Iowa, United States
WA3b.3: A hypergraph-based Lasso regularization for distributed learning
Gustavo Faia, Cedric Richard, Roula Nassif, Université Côte d'Azur, France
Contacts