Resource allocation for federated learning enabled edge intelligence
The confluence of Edge Computing and Artificial Intelligence (AI) has driven the rise of Edge Intelligence, which leverages the storage, communication, and computation capabilities of end devices and edge servers to empower AI implementation at scale closer to where data is generated. An enabling te...
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| Format: | Thesis-Doctor of Philosophy |
| Language: | English |
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Nanyang Technological University
2022
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| Online Access: | https://hdl.handle.net/10356/156418 |