RIPPLE in Still Water: Zero-Shot Clustering in Federated Learning with Wavelet Scattering Transform
Clustered Federated Learning (FL) partitions a client population into groups of similar local distributions and trains one specialized model per cluster, mitigating client drift that degrades single-model methods under non-IID data. Prior methods discover cluster structure inside the training loop through gradient simi...