To mitigate the growing carbon footprint of large-scale computing systems, there has been
an increasing focus on carbon-aware approaches that seek to align the power usage of IT …

We tackle a major challenge in federated learning (FL)--achieving good performance under
highly heterogeneous client distributions. The difficulty partially arises from two seemingly …

Federated Learning (FL) is a decentralized machine learning approach where local models
are trained on distributed clients, allowing privacy-preserving collaboration by sharing …

To reduce the carbon footprint of computing and stabilize electricity grids, there is an
increasing focus on approaches that align the power usage of IT infrastructure with the …