J Liu, H Xu, L Wang, Y Xu, C Qian… - … Mobile Computing, 2021 - ieeexplore.ieee.org
… an adaptive asynchronous federatedlearning (AAFL) mechanism for edgecomputing, and … We then propose experience-driven algorithms based on deep reinforcement learning (DRL…
J Zhang, X Cheng, C Wang, Y Wang, Z Shi, J Jin… - World Wide Web, 2022 - Springer
… , FedAda (FederatedAdaptive Training), that incorporates systems capabilities and data … as in Federated Averaging (FedAvg), our algorithm adopts an adaptive workload assignment …
Z Ma, Y Xu, H Xu, Z Meng, L Huang… - … on Mobile Computing, 2021 - ieeexplore.ieee.org
… the approach to adapting the proposed method to the real-world edgecomputing environment in Section … to the proposed algorithm for adapting to the real edgecomputing environment. …
B Gong, T Xing, Z Liu, J Wang, X Liu - Mobile Networks and Applications, 2022 - Springer
… federatedlearning has been widely used in collaborative training of machine learning … non-IID data issue, we present an adaptive clustered federatedlearning approach, \(\mathtt {…
P Tam, S Math, C Nam, S Kim - IEEE Journal of Selected Topics …, 2021 - ieeexplore.ieee.org
… allocation for VNF and adaptive model transmission in SDN-based IoT, a system model is vital for adopting SDN/NFV-based architecture and integrating with edgecomputingsystems. …
B Jiang, J Li, H Wang, H Song - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
… adaptive gradient compression, we can apply it in general federatedlearning designed for industrial edgecomputing… the federatedlearning into five steps: edge terminal computing, …
Q Ma, Y Xu, H Xu, Z Jiang, L Huang… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
… Due to edge heterogeneity, we adopt the adaptivelearning rate for model training, which will be discussed in Section II-D. Then worker vi uploads its updated local model wi …
J Mills, J Hu, G Min - … on Parallel and Distributed Systems, 2021 - ieeexplore.ieee.org
… adaptive optimisation when updating the global model on the server. Reddi et al. [16] also generalised other adaptive … method presented here uses adaptive optimisation on clients, …
… Distributed DNN models are well adapted to EC. To collectively train the DL model, the … We analyzed the implementation of federatedlearning in an edgecomputing environment based …