ShieldFL: Mitigating model poisoning attacks in privacy-preserving federated learning
Privacy-Preserving Federated Learning (PPFL) is an emerging secure distributed learning
paradigm that aggregates user-trained local gradients into a federated model through a …
paradigm that aggregates user-trained local gradients into a federated model through a …
ShieldFL: Mitigating model poisoning attacks in privacy-preserving federated learning
ZR MA, JF MA, YB MIAO, YJ LI… - IEEE Transactions on …, 2022 - ink.library.smu.edu.sg
Abstract Privacy-Preserving Federated Learning (PPFL) is an emerging secure distributed
learning paradigm that aggregates user-trained local gradients into a federated model …
learning paradigm that aggregates user-trained local gradients into a federated model …