Edge-to-Cloud Federated Learning with Resource-Aware Model Aggregation in MEC
Author:
Affiliation:
1. School of Computation, Information, and Technology,Technical University Munich,Munich,Germany
2. Informazione e Bioingegneria (DEIB),Politecnico di Milano,Dipartimento di Elettronica,Milan,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10615255/10615259/10615545.pdf?arnumber=10615545
Reference28 articles.
1. Multi-Access Edge Computing: A Survey
2. SD-WAN: how the control of the network can be shifted from core to edge
3. Federated Learning in Mobile Edge Networks: A Comprehensive Survey
4. Communication-efficient learning of deep networks from decentralized data;McMahan;Artificial intelligence and statistics,2017
5. Resource management at the network edge for federated learning
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