Article

Federated Learning, Mobile Emotion Recognition, and Client-Side Data Quality: A Survey and Research Agenda

2026-03-26

Abstract excerpt

The combination of federated learning (FL), mobile edge computing, and facial emotion recognition (FER) promises privacy-preserving affective computing on personal devices. Instead of uploading raw images to the cloud, models are trained collaboratively across distributed clients while inference increasingly happens on-device. However, when systems move from carefully curated research datasets to user-generated mo...

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Literature Corpus work: aa461369-6c9d-5675-9167-4ae0d5ed1249
DOI: 10.20944/preprints202603.2175.v1

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