Boning ZHANG
b.zhang.6@research.gla.ac.uk
Research title: Federated Learning for Heterogeneous Models with Knowledge Transfer: Algorithm Design and Performance Analysis
Research Summary
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Federated Learning
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Bayesian Learning
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Differential Privacy
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b.zhang.6@research.gla.ac.uk
Research title: Federated Learning for Heterogeneous Models with Knowledge Transfer: Algorithm Design and Performance Analysis
Zhang, B., Liu, D. , Simeone, O. and Zhu, G. (2024) Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. In: IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia, 4–8 Dec 2023, pp. 5286-5291. ISBN 9798350310900 (doi: 10.1109/GLOBECOM54140.2023.10437650)
Zhang, X., Zhang, B., Yu, W. and Kang, X. (2023) Federated deep learning with prototype matching for object extraction from very-high-resolution remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 61, 5603316. (doi: 10.1109/TGRS.2023.3244136)
Zhang, X., Zhang, B., Yu, W. and Kang, X. (2023) Federated deep learning with prototype matching for object extraction from very-high-resolution remote sensing images. IEEE Transactions on Geoscience and Remote Sensing, 61, 5603316. (doi: 10.1109/TGRS.2023.3244136)
Zhang, B., Liu, D. , Simeone, O. and Zhu, G. (2024) Bayesian Over-the-Air FedAvg via Channel Driven Stochastic Gradient Langevin Dynamics. In: IEEE Global Communications Conference (GLOBECOM 2023), Kuala Lumpur, Malaysia, 4–8 Dec 2023, pp. 5286-5291. ISBN 9798350310900 (doi: 10.1109/GLOBECOM54140.2023.10437650)