Tired of out-of-memory errors derailing your data analysis? There's a better way to handle huge arrays in Python.

Abstract: This article provides a comprehensive survey of aggregation strategies in federated learning (FL). This decentralized machine learning (ML) paradigm enables multiple clients to ...

Python gives you far more control, and the ecosystem is stacked with libraries that can replace most no-code platforms if you ...

Abstract: In Federated Learning (FL), the issue of statistical data heterogeneity has been a significant challenge to the field's ongoing development. This problem is further exacerbated when clients' ...