A multi-player game for studying federated machine learning incentive schemes
Laws governing privacy would almost certainly be strengthened and made more stringent. In the long run, Federated Learning as a business adoption would be advantageous because concerns like privacy protection can be solved while also exploiting big data. As a result, a proper structure to help Fe...
Saved in:
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Final Year Project |
| Language: | English |
| Published: |
Nanyang Technological University
2021
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/147923 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | Laws governing privacy would almost certainly be strengthened and made more stringent. In
the long run, Federated Learning as a business adoption would be advantageous because
concerns like privacy protection can be solved while also exploiting big data. As a result, a
proper structure to help Federated Learning in business is needed to facilitate and maintain a
stable and long-lasting Federation. This is vital for Federation Learning’s growth.
FedGame which was previously developed is a useful method for analysing human
participation behaviour in the context of various reward schemes. Users of the system will be
able to participate in Federated Learning as a data owner(business) and make decisions about
which Federation to join. Data on human decision then can be used and analysed to create an
effective reward system such as linear, equal, individual, union and shapley that promotes
engagement and commitment of high-quality data while also allowing the Federation to
function.
FedForum is then created as a follow-up to FedGame, with a web forum for users to discuss
their game play, how they respond to various reward schemes, and tactics they used when
playing. Users can use the forum to address the new features in the game, whether they are
working or not, what they like and hate, what they would like to see in the future, and what
they would like to see less of. FedGame is currently being developed in beta. Anyone who has
registered for the testing has access to FedForum where they can discuss and provide
information. Offer the developer feedback on what works and what doesn't. |
|---|