In-Network Caching and Learning Optimization for Federated Learning in Mobile Edge Networks
In this paper, we develop a novel privacy-aware framework to address straggling problem in a federated learning (FL)-based mobile edge network through maximizing profit for the mobile service provider (MSP). In particular, unlike the conventional FL process when participating mobile users (MUs) ha...
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| Main Authors: | , , , |
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| 格式: | Conference or Workshop Item PeerReviewed |
| 語言: | English |
| 出版: |
2022
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| 主題: | |
| 在線閱讀: | https://repository.ugm.ac.id/283862/1/Saputra_TK.pdf https://repository.ugm.ac.id/283862/ https://ieeexplore.ieee.org/document/9839229 |
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| 機構: | Universitas Gadjah Mada |
| 語言: | English |