A Joint Learning and Communications Framework for Federated Learning Over Wireless Networks
Mingzhe Chen, Zhaohui Yang, Walid Saad, Changchuan Yin, H. Vincent Poor, Shuguang Cui
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Citation edge evidence
- Federated Learning for Internet of Things: A Comprehensive Survey→A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…Legacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Communication-Efficient Learning of Deep Networks from Decentralized\n DataLegacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Communication-Efficient Learning of Deep Networks from Decentralized DataLegacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Federated Learning: Challenges, Methods, and Future DirectionsLegacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Adaptive Federated Learning in Resource Constrained Edge Computing SystemsLegacy edge — source detail unavailable
- A Joint Learning and Communications Framework for Federated Learning Over Wireless Networ…→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
- Federated Learning: Strategies for Improving Communication Efficiency→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Federated Optimization: Distributed Machine Learning for On-Device IntelligenceLegacy edge — source detail unavailable
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
- Adaptive Federated Learning in Resource Constrained Edge Computing Systems→Communication-Efficient Learning of Deep Networks from Decentralized\n DataLegacy edge — source detail unavailable
- Federated Learning: Challenges, Methods, and Future Directions→Federated Learning: Strategies for Improving Communication EfficiencyLegacy edge — source detail unavailable
What this paper cites, inside the corpus
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Federated Learning for Internet of Things: A Comprehensive Survey | 2021 | 1,465 |
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Topics
| Privacy-Preserving Technologies in Data | Computer Science |
| Advanced MIMO Systems Optimization | Engineering |
| Cooperative Communication and Network Coding | Computer Science |
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