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About Split Federated Learning For 6G Enabled-Networks: Requirements, Challenges and Future Directions
1) Sixth generation (6G) networks aim to intelligently support innovative applications through heavy usage of machine learning techniques like deep learning. 2) Split federated learning is a promising collaborative machine learning technique that could be effectively deployed over 6G networks to improve data privacy and reduce communication overhead compared to other approaches. 3) There are many technical challenges to implementing split federated learning over 6G networks related to technologies like intelligent edge computing and use cases involving massive-scale machine learning workflows.
Detailed Information
| Author: | ['Sree Krishna Das'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 37 |
| Language: | English |
| Format: | |
| Price: | FREE |
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