59 citations · 220 across the 28 of their papers we have counts for
Showing 2021Show all
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stat.ML2021★ 13 cited
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
Xubo Yue, Raed Al Kontar
In this paper, we propose \texttt{FGPR}: a Federated Gaussian process () regression framework that uses an averaging strategy for model aggregation and stochastic gra…
stat.ML2021★ 1 cited
Gaussian Process Inference Using Mini-batch Stochastic Gradient Descent: Convergence Guarantees and Empirical Benefits
Hao Chen, Lili Zheng, Raed Al Kontar +1
Stochastic gradient descent (SGD) and its variants have established themselves as the go-to algorithms for large-scale machine learning problems with independent samples due to the…
cs.LG2021★ 59 cited
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Kontar, Naichen Shi, Xubo Yue +12
The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the future, IoFT, the cloud will be substituted by the crowd where model training is br…