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cs.LG2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning
Momin Ahmad Khan, Yasra Chandio, Fatima Muhammad Anwar
Data heterogeneity among Federated Learning (FL) users poses a significant challenge, resulting in reduced global model performance. The community has designed various techniques t…
cs.LG2023★ 5 cited
Mitigating Group Bias in Federated Learning for Heterogeneous Devices
Khotso Selialia, Yasra Chandio, Fatima M. Anwar
Federated Learning is emerging as a privacy-preserving model training approach in distributed edge applications. As such, most edge deployments are heterogeneous in nature i.e., th…