USENIX Security ’23 – PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation

Authors/Presenters: Yuchen Yang, Bo Hui, Haolin Yuan, Neil Gong, Yinzhi Cao

Many thanks to USENIX for publishing their outstanding USENIX Security ’23 Presenter’s content, and the organizations strong commitment to Open Access.

Originating from the conference’s events situated at the Anaheim Marriott; and via the organizations YouTube channel.

Permalink

The post USENIX Security ’23 – PrivateFL: Accurate, Differentially Private Federated Learning via Personalized Data Transformation appeared first on Security Boulevard.

access authors conference data data transformation events federated federated learning marriott neil open access open access to research organizations private publishing security security research thanks transformation usenix usenix security usenix security ’23