portobgusmao.com - Pedro Porto Buarque de Gusmão, PhD

Description: Lecturer in Computer Science, NICE Research Group, University of Surrey.

machine learning (3353) deep learning (1107) indoor navigation (26) federated learning (12)

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Pedro Porto Buarque de Gusmão, PhD

I’m a Senior Research Associate at the Cambridge Machine Learning Systems Lab . My research interests include Computer Vision, Navigation under adverse conditions, Sensor Fusion, and Distributed Machine Learning.

Federated Learning (FL) has emerged as a promising technique for edge devices to collaboratively learn a shared prediction model, while keeping their training data on the device, thereby decoupling the ability to do machine learning from the need to store the data in the cloud. However, FL is difficult to implement and deploy in practice, considering the heterogeneity in mobile devices, e.g., different programming languages, frameworks, and hardware accelerators. Although there are a few frameworks availabl

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