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Together or Alone: The Price of Privacy in Collaborative Learning
v1v2v3 (latest)

Together or Alone: The Price of Privacy in Collaborative Learning

1 December 2017
Balázs Pejó
Qiang Tang
G. Biczók
    FedML
ArXiv (abs)PDFHTML

Papers citing "Together or Alone: The Price of Privacy in Collaborative Learning"

7 / 7 papers shown
Title
DPMAC: Differentially Private Communication for Cooperative Multi-Agent
  Reinforcement Learning
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning
Canzhe Zhao
Yanjie Ze
Jing Dong
Baoxiang Wang
Shuai Li
55
2
0
19 Aug 2023
Industry-Scale Orchestrated Federated Learning for Drug Discovery
Industry-Scale Orchestrated Federated Learning for Drug Discovery
M. Oldenhof
G. Ács
Balázs Pejó
A. Schuffenhauer
Nicholas Holway
...
Yves Moreau
Ola Engkvist
Hugo Ceulemans
Camille Marini
M. Galtier
FedML
123
40
0
17 Oct 2022
Collaborative Drug Discovery: Inference-level Data Protection
  Perspective
Collaborative Drug Discovery: Inference-level Data Protection Perspective
Balázs Pejó
Mina Remeli
Adam Arany
M. Galtier
G. Ács
69
3
0
13 May 2022
Incentive Mechanisms for Federated Learning: From Economic and Game
  Theoretic Perspective
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective
Xuezhen Tu
Kun Zhu
Nguyen Cong Luong
Dusit Niyato
Yang Zhang
Juan Li
FedMLAI4CE
95
124
0
20 Nov 2021
Quality Inference in Federated Learning with Secure Aggregation
Quality Inference in Federated Learning with Secure Aggregation
Balázs Pejó
G. Biczók
FedML
75
22
0
13 Jul 2020
Differential Privacy at Risk: Bridging Randomness and Privacy Budget
Differential Privacy at Risk: Bridging Randomness and Privacy Budget
Ashish Dandekar
D. Basu
S. Bressan
109
8
0
02 Mar 2020
SoK: Differential Privacies
SoK: Differential Privacies
Damien Desfontaines
Balázs Pejó
163
126
0
04 Jun 2019
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