Federated learning playground
Federated learning is the leading paradigm for the collaborative training of machine learning models in a privacy-preserving manner. It was first introduced by Google as a learning paradigm for the next- word prediction model in google keyboards. In this project, students will build an interactive...
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| Other Authors: | |
| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/171968 |
| _version_ | 1824455657305145344 |
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| author | Puvaneswaran Arumugam |
| author2 | Yu Han |
| author_facet | Yu Han Puvaneswaran Arumugam |
| author_sort | Puvaneswaran Arumugam |
| collection | NTU |
| description | Federated learning is the leading paradigm for the collaborative training of machine learning models
in a privacy-preserving manner. It was first introduced by Google as a learning paradigm for the next-
word prediction model in google keyboards. In this project, students will build an interactive platform
that supports experimentation of federated learning algorithms. It will serve as an educational
visualization platform that provides analytical insights into the federated training process. This project
may involve frameworks such as TensorFlow.js, D3.js, React Native etc. Some knowledge of python or
tensorflow is recommended. |
| first_indexed | 2025-02-19T03:41:41Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/171968 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:41:41Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1719682023-11-24T15:38:09Z Federated learning playground Puvaneswaran Arumugam Yu Han School of Computer Science and Engineering han.yu@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Federated learning is the leading paradigm for the collaborative training of machine learning models in a privacy-preserving manner. It was first introduced by Google as a learning paradigm for the next- word prediction model in google keyboards. In this project, students will build an interactive platform that supports experimentation of federated learning algorithms. It will serve as an educational visualization platform that provides analytical insights into the federated training process. This project may involve frameworks such as TensorFlow.js, D3.js, React Native etc. Some knowledge of python or tensorflow is recommended. Bachelor of Engineering (Computer Science) 2023-11-20T01:08:58Z 2023-11-20T01:08:58Z 2023 Final Year Project (FYP) Puvaneswaran Arumugam (2023). Federated learning playground. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/171968 https://hdl.handle.net/10356/171968 en SCSE22-1053 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Puvaneswaran Arumugam Federated learning playground |
| title | Federated learning playground |
| title_full | Federated learning playground |
| title_fullStr | Federated learning playground |
| title_full_unstemmed | Federated learning playground |
| title_short | Federated learning playground |
| title_sort | federated learning playground |
| topic | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | https://hdl.handle.net/10356/171968 |
| work_keys_str_mv | AT puvaneswaranarumugam federatedlearningplayground |