Seeing is believing: Towards interactive visual exploration of data privacy in federated learning-Reference-Cited by-同舟云学术

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Seeing is believing: Towards interactive visual exploration of data privacy in federated learning

Published:2023-03 Issue:2 Volume:60 Page:103162
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Guo Yeting^ORCID,Liu Fang^ORCID,Zhou Tongqing,Cai Zhiping,Xiao Nong

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference58 articles.

1. Deep learning with differential privacy;Abadi,2016

2. The human in emotion recognition on social media: Attitudes, outcomes, risks;Andalibi,2020

3. Federated learning review: Fundamentals, enabling technologies, and future applications;Banabilah;Information Processing & Management,2022

4. Vemotion: Using driving context for indirect emotion prediction in real-time;Bethge,2021

5. Towards federated learning at scale: System design;Bonawitz,2019

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1. Forecasting time to risk based on multi-party data: An explainable privacy-preserving decentralized survival analysis method;Information Processing & Management;2025-01

2. How to dissolve the “privacy paradox” in social networks? A game approach based on privacy calculus;Kybernetes;2024-06-11

3. Measure-Observe-Remeasure: An Interactive Paradigm for Differentially-Private Exploratory Analysis;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

4. Cataract classification and grading in federated learning environment using CNN based Modified-ResNet-50;Journal of Intelligent & Fuzzy Systems;2024-03-05

5. Towards Smart Education in the Industry 5.0 Era: A Mini Review on the Application of Federated Learning;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14

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