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Federated Data Analytics: A Study on Linear Models


Jun 15, 2022
Xubo Yue, Raed Al Kontar, Ana María Estrada Gómez


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Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks


Apr 29, 2022
Raghav Gnanasambandam, Bo Shen, Jihoon Chung, Xubo Yue, Zhenyu, Kong

* 31 pages, 12 figures 

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Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling


Nov 28, 2021
Xubo Yue, Raed Al Kontar

* 56 pages. Under Review 

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The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning


Nov 09, 2021
Raed Kontar, Naichen Shi, Xubo Yue, Seokhyun Chung, Eunshin Byon, Mosharaf Chowdhury, Judy Jin, Wissam Kontar, Neda Masoud, Maher Noueihed, Chinedum E. Okwudire, Garvesh Raskutti, Romesh Saigal, Karandeep Singh, Zhisheng Ye

* Accepted at IEEE 

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GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning


Aug 05, 2021
Xubo Yue, Maher Nouiehed, Raed Al Kontar


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SALR: Sharpness-aware Learning Rates for Improved Generalization


Nov 10, 2020
Xubo Yue, Maher Nouiehed, Raed Al Kontar


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Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons


Nov 04, 2019
Xubo Yue, Raed Al Kontar

* 12 pages, 1 figure 

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The Rényi Gaussian Process


Oct 17, 2019
Xubo Yue, Raed Kontar


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Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes


Mar 09, 2019
Xubo Yue, Raed Kontar


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