On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach | Journal of Artificial Intelligence Research#Privacy#Utility#Tradeoff#Machine Learning#Federated Learning#Paper#PDF·jair.org·Feb 12, 2024On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach | Journal of Artificial Intelligence Research
Collaborative machine learning that preserves privacy#Federated Learning#Model#Compression#Privacy·news.mit.edu·Sep 8, 2022Collaborative machine learning that preserves privacy