Our work, "Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning" (w\ Miguel Angel Lozano, Novi Quadrianto, and @nuriaoliver.com ) is now published at @ieeeaccess.bsky.social: ieeexplore.ieee.org/document/109...
ieeexplore.ieee.org
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning
Federated Learning (FL) has been proposed as a privacy-preserving solution for distributed machine learning, particularly in heterogeneous FL settings where clients have varying computational capabili...