A marketplace for crowdsourced federated learning
Amid data privacy concerns, Federated Learning (FL) has emerged as a promising machine learning paradigm that enables privacy-preserving collaborative model training. However, there exists the need for a platform that matches data owners (supply) with model requesters (demand). This paper presents C...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2021
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| Online Access: | https://hdl.handle.net/10356/148179 |
| _version_ | 1824456143418687488 |
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| author | Feng, Daifei |
| author2 | Dusit Niyato |
| author_facet | Dusit Niyato Feng, Daifei |
| author_sort | Feng, Daifei |
| collection | NTU |
| description | Amid data privacy concerns, Federated Learning (FL) has emerged as a promising machine learning paradigm that enables privacy-preserving collaborative model training. However, there exists the need for a platform that matches data owners (supply) with model requesters (demand). This paper presents CrowdFL, a marketplace for facilitating the crowdsourcing of FL model training. By implementing
model training on actual mobile devices, we demonstrate that the platform improves model performance and training efficiency. To the best of our knowledge, it is the first platform to support crowdsourcing-based federated learning on edge devices. |
| first_indexed | 2025-02-19T03:49:25Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/148179 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2025-02-19T03:49:25Z |
| publishDate | 2021 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1481792021-04-26T04:46:00Z A marketplace for crowdsourced federated learning Feng, Daifei Dusit Niyato School of Computer Science and Engineering DNIYATO@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Amid data privacy concerns, Federated Learning (FL) has emerged as a promising machine learning paradigm that enables privacy-preserving collaborative model training. However, there exists the need for a platform that matches data owners (supply) with model requesters (demand). This paper presents CrowdFL, a marketplace for facilitating the crowdsourcing of FL model training. By implementing model training on actual mobile devices, we demonstrate that the platform improves model performance and training efficiency. To the best of our knowledge, it is the first platform to support crowdsourcing-based federated learning on edge devices. Bachelor of Engineering (Computer Science) 2021-04-26T04:46:00Z 2021-04-26T04:46:00Z 2021 Final Year Project (FYP) Feng, D. (2021). A marketplace for crowdsourced federated learning. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/148179 https://hdl.handle.net/10356/148179 en SCSE20-0079 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence Feng, Daifei A marketplace for crowdsourced federated learning |
| title | A marketplace for crowdsourced federated learning |
| title_full | A marketplace for crowdsourced federated learning |
| title_fullStr | A marketplace for crowdsourced federated learning |
| title_full_unstemmed | A marketplace for crowdsourced federated learning |
| title_short | A marketplace for crowdsourced federated learning |
| title_sort | marketplace for crowdsourced federated learning |
| topic | Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence |
| url | https://hdl.handle.net/10356/148179 |
| work_keys_str_mv | AT fengdaifei amarketplaceforcrowdsourcedfederatedlearning AT fengdaifei marketplaceforcrowdsourcedfederatedlearning |