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Towards Fair and Privacy-Preserving Federated Deep Models

Towards Fair and Privacy-Preserving Federated Deep Models

4 June 2019
Lingjuan Lyu
Jiangshan Yu
Karthik Nandakumar
Yitong Li
Xingjun Ma
Jiong Jin
Han Yu
Kee Siong Ng
    FedML
ArXivPDFHTML

Papers citing "Towards Fair and Privacy-Preserving Federated Deep Models"

3 / 3 papers shown
Title
Use of Federated Learning and Blockchain towards Securing Financial
  Services
Use of Federated Learning and Blockchain towards Securing Financial Services
Pushpita Chatterjee
Debashis Das
D. Rawat
AIFin
30
8
0
04 Feb 2023
Survey: Leakage and Privacy at Inference Time
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
23
71
0
04 Jul 2021
Threats to Federated Learning: A Survey
Threats to Federated Learning: A Survey
Lingjuan Lyu
Han Yu
Qiang Yang
FedML
202
436
0
04 Mar 2020
1