IEEE

AdaFed: Optimizing Participation-Aware Federated Learning With Adaptive Aggregation Weights

Abstract: Federated learning (FL) has become one of the mainstream paradigms for multi-party collaborative learning with privacy protection. As it is difficult to guarantee all FL devices to be active ...
IEEE

Toward Secure Weighted Aggregation for Privacy-Preserving Federated Learning

Abstract: Privacy-preserving federated learning can protect the privacy of model gradients/parameters in the model aggregation phase. Most existing schemes only ...
GitHub

test_private_read_group.py

partner_1 = self.env['res.partner'].create({'name': 'z_one'}) partner_2 = self.env['res.partner'].create({'name': 'a_two'}) Model.create({'key': 1, 'partner_id ...