Toward resource-efficient federated learning in mobile edge computing
Federated learning is a newly emerged distributed deep learning paradigm, where the
clients separately train their local neural network models with private data and then jointly …
clients separately train their local neural network models with private data and then jointly …
Toward Resource-Efficient Federated Learning in Mobile Edge Computing
R Yu, P Li - IEEE Network, 2021 - dl.acm.org
Federated learning is a newly emerged distributed deep learning paradigm, where the
clients separately train their local neural network models with private data and then jointly …
clients separately train their local neural network models with private data and then jointly …
Toward Resource-Efficient Federated Learning in Mobile Edge Computing
R Yu, P Li - IEEE Network, 2021 - ieeexplore.ieee.org
Federated learning is a newly emerged distributed deep learning paradigm, where the
clients separately train their local neural network models with private data and then jointly …
clients separately train their local neural network models with private data and then jointly …