Data Poisoning Attacks Against Federated Learning Systems

2 code implementations • 16 Jul 2020 • Vale Tolpegin, Stacey Truex, Mehmet Emre Gursoy, Ling Liu

Federated learning (FL) is an emerging paradigm for distributed training of large-scale deep neural networks in which participants' data remains on their own devices with only model updates being shared with a central server.

Data Poisoning Federated Learning