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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.

, , , , , , , , , , , , , , and . CoRR, (2021)

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Lookahead Bayesian Optimization via Rollout: Guarantees and Sequential Rolling Horizons., and . CoRR, (2019)Variational Inference of Joint Models using Multivariate Gaussian Convolution Processes., and . CoRR, (2019)The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning., , , , , , , , , and 5 other author(s). CoRR, (2021)Joint Models for Event Prediction From Time Series and Survival Data., and . Technometrics, 63 (4): 477-486 (2021)The Internet of Federated Things (IoFT)., , , , , , , , , and 5 other author(s). IEEE Access, (2021)Collaborative and Distributed Bayesian Optimization via Consensus: Showcasing the Power of Collaboration for Optimal Design., , , , , , and . CoRR, (2023)GIFAIR-FL: An Approach for Group and Individual Fairness in Federated Learning., , and . CoRR, (2021)Self-scalable Tanh (Stan): Faster Convergence and Better Generalization in Physics-informed Neural Networks., , , , and . CoRR, (2022)SALR: Sharpness-aware Learning Rates for Improved Generalization., , and . CoRR, (2020)Federated Gaussian Process: Convergence, Automatic Personalization and Multi-Fidelity Modeling., and . IEEE Trans. Pattern Anal. Mach. Intell., 46 (6): 4246-4261 (June 2024)