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Privacy-Preserving Bandits
v1v2v3v4 (latest)

Privacy-Preserving Bandits

Conference on Machine Learning and Systems (MLSys), 2019
10 September 2019
Mohammad Malekzadeh
D. Athanasakis
Hamed Haddadi
B. Livshits
ArXiv (abs)PDFHTML

Papers citing "Privacy-Preserving Bandits"

10 / 10 papers shown
Beyond Random Noise: Insights on Anonymization Strategies from a Latent
  Bandit Study
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study
Alexander Galozy
Sadi Alawadi
V. Kebande
Sławomir Nowaczyk
247
1
0
30 Sep 2023
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for
  Sequential-Decision Making Human-in-the-Loop Systems
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop SystemsInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2023
Mojtaba Taherisadr
S. Stavroulakis
Salma Elmalaki
173
17
0
07 Mar 2023
Vertical Federated Linear Contextual Bandits
Vertical Federated Linear Contextual Bandits
Zeyu Cao
Zhipeng Liang
Shu Zhen Zhang
Hang Li
Ouyang Wen
Yu Rong
P. Zhao
Bing Wu
FedML
213
1
0
20 Oct 2022
Differentially Private Federated Combinatorial Bandits with Constraints
Differentially Private Federated Combinatorial Bandits with Constraints
Sambhav Solanki
Samhita Kanaparthy
Sankarshan Damle
Sujit Gujar
FedML
235
6
0
27 Jun 2022
On-device Federated Learning with Flower
On-device Federated Learning with Flower
Akhil Mathur
Daniel J. Beutel
Pedro Porto Buarque de Gusmão
Javier Fernandez-Marques
Taner Topal
Xinchi Qiu
Titouan Parcollet
Yan Gao
Nicholas D. Lane
FedML
278
44
0
07 Apr 2021
Federated Bandit: A Gossiping Approach
Federated Bandit: A Gossiping ApproachProceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), 2020
Zhaowei Zhu
Jingxuan Zhu
Ji Liu
Yang Liu
FedML
493
96
0
24 Oct 2020
Differentially-Private Federated Linear Bandits
Differentially-Private Federated Linear Bandits
Abhimanyu Dubey
Alex Pentland
FedML
243
132
0
22 Oct 2020
Local Differential Privacy for Regret Minimization in Reinforcement
  Learning
Local Differential Privacy for Regret Minimization in Reinforcement Learning
Evrard Garcelon
Vianney Perchet
Ciara Pike-Burke
Matteo Pirotta
344
41
0
15 Oct 2020
Flower: A Friendly Federated Learning Research Framework
Flower: A Friendly Federated Learning Research Framework
Daniel J. Beutel
Taner Topal
Akhil Mathur
Xinchi Qiu
Javier Fernandez-Marques
...
Lorenzo Sani
Kwing Hei Li
Titouan Parcollet
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
684
1,149
0
28 Jul 2020
Multi-Armed Bandits with Local Differential Privacy
Multi-Armed Bandits with Local Differential Privacy
Wenbo Ren
Xingyu Zhou
Jia Liu
Ness B. Shroff
192
53
0
06 Jul 2020
1
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