From Data Collection to Learning from Distributed Data: a Minimum Cost Incentive Mechanism for Private Discrete Distribution Estimation and an Optimal Stopping Approach for Iterative Training in Federated Learning
abstract: The first half of this dissertation introduces a minimum cost incentive mechanism for collecting discrete distributed private data for big-data analysis. The goal of an incentive mechanism is to incentivize informative reports and make sure randomization in the reported data does not excee...
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| Format: | Doctoral Thesis |
| Language: | English |
| Published: |
2020
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| Online Access: | http://hdl.handle.net/2286/R.I.62953 |