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06/15/2022
Federated Data Analytics: A Study on Linear Models
As edge devices become increasingly powerful, data analytics are gradual...
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04/26/2022
Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks
Physics-informed Neural Networks (PINNs) are gaining attention in the en...
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11/28/2021
Federated Gaussian Process: Convergence, Automatic Personalization and Multi-fidelity Modeling
In this paper, we propose : a Federated Gaussian process (𝒢𝒫) regression...
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11/09/2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Things (IoT) is on the verge of a major paradigm shift. ...
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11/04/2019
Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons
Lookahead, also known as non-myopic, Bayesian optimization (BO) aims to ...
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10/15/2019
The Rényi Gaussian Process
In this article we introduce an alternative closed form lower bound on t...
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03/09/2019