Abstract: Privacy-preserving federated learning can protect the privacy of model gradients/parameters in the model aggregation phase. Most existing schemes only ...
SINGAPORE, SINGAPORE, SINGAPORE, July 3, 2026 /EINPresswire.com/ -- PRESS RELEASE FOR IMMEDIATE RELEASE Date: May 30, ...
Abstract: Various correlations hidden in crowdsourcing annotation tasks bring opportunities to further improve the accuracy of label aggregation. However, these relationships are usually extremely ...