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Advances in appfl: A comprehensive and extensible federated learning framework
Federated learning (FL) is a distributed machine learning paradigm enabling collaborative
model training while preserving data privacy. In today's landscape, where most data is …
model training while preserving data privacy. In today's landscape, where most data is …
[PDF][PDF] Lightweight single-layer aggregation framework for energy-efficient and privacy-preserving load forecasting in heterogeneous smart grids
Federated Learning (FL) in load forecasting improves predictive accuracy by leveraging
data from distributed load networks while preserving data privacy. However, the …
data from distributed load networks while preserving data privacy. However, the …