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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Bibliographic Details
Main Authors: Saputra, Yuris Mulya, Nguyen, Diep N., Hoang, Dinh Thai, Dutkiewicz, Eryk
Format: Conference or Workshop Item PeerReviewed
Language:English
Published: 2022
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Online Access: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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Institution: Universitas Gadjah Mada
Language: English

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