Anish Ambreth

Collaborative Threshold Watermarking

In federated learning (FL), $K$ clients jointly train a model without sharing raw data. Because each participant invests data and computing power, clients need mechanisms to later prove the provenance of a jointly trained model. Model watermarking embeds a hidden signal in the weights, but naive app…