Energy-efficient radio resource allocation for federated edge learning
Q Zeng, Y Du, K Huang… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Edge machine learning involves the development of learning algorithms at the network edge
to leverage massive distributed data and computation resources. Among others, the …
to leverage massive distributed data and computation resources. Among others, the …
Energy-Efficient Radio Resource Allocation for Federated Edge Learning
Q Zeng, Y Du, KK Leung, K Huang - arXiv e-prints, 2019 - ui.adsabs.harvard.edu
Edge machine learning involves the development of learning algorithms at the network edge
to leverage massive distributed data and computation resources. Among others, the …
to leverage massive distributed data and computation resources. Among others, the …
Energy-Efficient Radio Resource Allocation for Federated Edge Learning
Q Zeng, Y Du, K Huang, KK Leung - IEEE International Conference on …, 2020 - hub.hku.hk
Edge machine learning involves the development of learning algorithms at the network edge
to leverage massive distributed data and computation resources. Among others, the …
to leverage massive distributed data and computation resources. Among others, the …
Energy-Efficient Radio Resource Allocation for Federated Edge Learning
Q Zeng, Y Du, KK Leung, K Huang - arXiv preprint arXiv:1907.06040, 2019 - arxiv.org
Edge machine learning involves the development of learning algorithms at the network edge
to leverage massive distributed data and computation resources. Among others, the …
to leverage massive distributed data and computation resources. Among others, the …