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Two Models are Better than One: Federated Learning Is Not Private For
  Google GBoard Next Word Prediction

Two Models are Better than One: Federated Learning Is Not Private For Google GBoard Next Word Prediction

30 October 2022
Mohamed Suliman
D. Leith
    SILM
    FedML
ArXivPDFHTML

Papers citing "Two Models are Better than One: Federated Learning Is Not Private For Google GBoard Next Word Prediction"

6 / 6 papers shown
Title
Federated Learning in Practice: Reflections and Projections
Federated Learning in Practice: Reflections and Projections
Katharine Daly
Hubert Eichner
Peter Kairouz
H. B. McMahan
Daniel Ramage
Zheng Xu
FedML
53
5
0
11 Oct 2024
Confidential Federated Computations
Confidential Federated Computations
Hubert Eichner
Daniel Ramage
Kallista A. Bonawitz
Dzmitry Huba
Tiziano Santoro
...
Albert Cheu
Katharine Daly
Adria Gascon
Marco Gruteser
Brendan McMahan
40
2
0
16 Apr 2024
Private Federated Learning with Autotuned Compression
Private Federated Learning with Autotuned Compression
Enayat Ullah
Christopher A. Choquette-Choo
Peter Kairouz
Sewoong Oh
FedML
15
6
0
20 Jul 2023
When the Curious Abandon Honesty: Federated Learning Is Not Private
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
69
181
0
06 Dec 2021
Practical and Private (Deep) Learning without Sampling or Shuffling
Practical and Private (Deep) Learning without Sampling or Shuffling
Peter Kairouz
Brendan McMahan
Shuang Song
Om Thakkar
Abhradeep Thakurta
Zheng Xu
FedML
180
154
0
26 Feb 2021
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,814
0
14 Dec 2020
1