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20222024
most citedFLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation

6 citations · 12 across the 4 of their papers we have counts for

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cs.LG2023★ 6 cited

FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation

Tong Xia, Abhirup Ghosh, Xinchi Qiu +1

Federated Learning (FL) enables model development by leveraging data distributed across numerous edge devices without transferring local data to a central server. However, existing…

cs.LG2023

Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection

Tong Xia, Jing Han, Abhirup Ghosh +1

Federated learning (FL) aided health diagnostic models can incorporate data from a large number of personal edge devices (e.g., mobile phones) while keeping the data local to the o…