Annual Conference of KIPS (한국정보처리학회:학술대회논문집)
- 2020.05a
- /
- Pages.228-230
- /
- 2020
- /
- 2005-0011(pISSN)
- /
- 2671-7298(eISSN)
DOI QR Code
Merging Collaborative Learning and Blockchain: Privacy in Context
- Rahmadika, Sandi (Department of ITConvergence of Information Security, Graduate School Pukyong National University) ;
- Rhee, Kyung-Hyune (Department of ITConvergence and Application Engineering Pukyong National University)
- Published : 2020.05.29
Abstract
The emergence of collaborative learning to the public is to tackle the user's privacy issue in centralized learning by bringing the AI models to the data source or client device for training Collaborative learning employs computing and storage resources on the client's device. Thus, it is privacy preserved by design. In harmony, blockchain is also prominent since it does not require an intermediary to process a transaction. However, these approaches are not yet fully ripe to be implemented in the real world, especially for the complex system (several challenges need to be addressed). In this work, we present the performance of collaborative learning and potential use case of blockchain. Further, we discuss privacy issues in the system.
Keywords