[HTML][HTML] Combined federated and split learning in edge computing for ubiquitous intelligence in internet of things: State-of-the-art and future directions

Q Duan, S Hu, R Deng, Z Lu - Sensors, 2022 - mdpi.com
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Q Duan, S Hu, R Deng, Z Lu - Sensors (Basel …, 2022 - pubmed.ncbi.nlm.nih.gov
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …

[PDF][PDF] Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Q Duan, S Hu, R Deng, Z Lu - Sensors, 2022 - academia.edu
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …

[HTML][HTML] Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Q Duan, S Hu, R Deng, Z Lu - Sensors (Basel, Switzerland), 2022 - ncbi.nlm.nih.gov
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …

[PDF][PDF] Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Q Duan, S Hu, R Deng, Z Lu - Sensors, 2022 - researchgate.net
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Q Duan, S Hu, R Deng, Z Lu - Sensors, 2022 - search.proquest.com
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions

Q Duan, S Hu, R Deng, Z Lu - Sensors, 2022 - ui.adsabs.harvard.edu
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions.

Q Duan, S Hu, R Deng, Z Lu - Sensors (14248220), 2022 - search.ebscohost.com
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions

Q Duan, S Hu, R Deng, Z Lu - arXiv preprint arXiv:2207.09611, 2022 - arxiv.org
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in Internet of Things (IoT) …

Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State-of-the-Art and Future Directions.

Q Duan, S Hu, R Deng, Z Lu - Sensors (Basel, Switzerland), 2022 - europepmc.org
Federated learning (FL) and split learning (SL) are two emerging collaborative learning
methods that may greatly facilitate ubiquitous intelligence in the Internet of Things (IoT) …