Multi-device Intelligence with a Data-Centric Approach

UCL Electronic and Electrical Engineering

Join us to learn more about multi-device intelligence with a data-centric approach to federated learning.

Institute of Advanced Legal Studies, Russell Square, London, UK

An hour-long discussion on multi-device intelligence with Dr Mohammad Malekzadeh, a Senior Research Scientist in the Device Research Department at Nokia Bell Labs in Cambridge, UK.In today's multi-device environment, enhancing human experience requires learning from diverse modalities and circumstances. However, challenges arise due to limited data availability and edge device computational constraints for training deep neural networks.This event delves into efficient and effective neural network training using data from personal devices. Explore topics like label efficiency, data selection, model partitioning, handling missing modalities and more.

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Multi-device Intelligence with a Data-Centric Approach

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Multi-device Intelligence with a Data-Centric Approach

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