Exploring the Relationship Between Privacy and Utility in Mobile Health: Algorithm Development and Validation via Simulations of Federated Learning, Differential Privacy, and External Attacks
Exploring the Relationship Between Privacy and Utility in Mobile Health: Algorithm Development and Validation via Simulations of Federated Learning, Differential Privacy, and External Attacks
Alexander Shen
1, 2
, MSc ;
Luke Francisco
1
, BA ;
Srijan Sen
3, 4
, MD, PhD ;
Ambuj Tewari
1, 5
, PhD
1
Department of Statistics, University of Michigan, Ann Arbor, MI, United States
2
Department of Statistics and Data Science, Carnegie Mellon University, Pittsburgh, PA, United States
3
Eisenberg Family Depression Center, University of Michigan, Ann Arbor, MI, United States
4
Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, MI, United States
5
Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, United States
Corresponding Author:
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Alexander Shen, MSc
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Department of Statistics and Data Science
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Carnegie Mellon University
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5000 Forbes Ave
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Pittsburgh, PA, 15213
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United States
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Phone:
1 7022754242
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Email: alexshen@umich.edu