569 citations · 863 across the 18 of their papers we have counts for
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cs.DC2021★ 46 cited
Asynchronous Federated Learning on Heterogeneous Devices: A Survey
Chenhao Xu, Youyang Qu, Yong Xiang +1
Federated learning (FL) is a kind of distributed machine learning framework, where the global model is generated on the centralized aggregation server based on the parameters of lo…
cs.DC2018★ 569 cited
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
Ranesh Kumar Naha, Saurabh Garg, Dimitrios Georgakopoulos +4
Emerging technologies like the Internet of Things (IoT) require latency-aware computation for real-time application processing. In IoT environments, connected things generate a hug…