Kalibbala Jonathan Mukisa

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 …