Jae Min Lee

Trimmed Averaging for Efficient Federated Learning in the Internet of Things

2024

The adoption of Federated Learning (FL) for decen-tralised model training has enabled workload distribution across multiple client devices. However, extreme values and outliers in the model updates from distributed devices often challenge this approach. This …

PureFL: Channel-partitioned federated learning with cross-channel knowledge distillation on PureChain

2026 · ICT Express

Federated learning (FL) improves privacy by keeping data local, but accuracy degrades when clients are partitioned across communication channels and when differential privacy (DP) noise is applied. This paper presents PureFL, a federated learning framework …