2026
Unlocking the Potential of Weighting Methods in Federated Learning Through Communication Compression
ICLR 2026poster
Modern machine learning problems are frequently formulated in federated learning domain and incorporate inherently heterogeneous data. Weighting methods operate efficiently in terms of iteration complexity and represent a common direction in this setting. At the same time, they do not address direct…