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An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning

IEEE journal of biomedical and health informatics, 2023-09, Vol.PP (9), p.1-12

2023

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Federated Machine Learning for Skin Lesion Diagnosis: An Asynchronous and Weighted Approach

Diagnostics (Basel), 2023-06, Vol.13 (11), p.1964

2023

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Symmetry in Privacy-Based Healthcare: A Review of Skin Cancer Detection and Classification Using Federated Learning

Symmetry (Basel), 2023-07, Vol.15 (7), p.1369

2023

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Hybrid Classifier-Based Federated Learning in Health Service Providers for Cardiovascular Disease Prediction

Applied sciences, 2023-02, Vol.13 (3), p.1911

2023

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Machine Learning Privacy Aware Anonymization Using MapReduce Based Neural Network

Intelligent automation and soft computing, 2022, Vol.31 (2), p.1185-1196

2022

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TIFF: Tokenized Incentive for Federated Learning

2022 IEEE 15th International Conference on Cloud Computing (CLOUD), 2022, p.407-416

2022

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Efficient and Private ECG Classification on the Edge Using a Modified Split Learning Mechanism

2022 IEEE 10th International Conference on Healthcare Informatics (ICHI), 2022, p.01-06

2022

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Data adequacy bias impact in a data-blinded semi-supervised GAN for privacy-aware COVID-19 chest X-ray classification

Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2022, p.1-8

2022

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Black Hole Algorithm for BigData Anonymization

Proceedings of the International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks, 2022, p.29-40

2022

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On the Case of Privacy in the IoT Ecosystem: A Survey

2019 International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2019, p.1015-1024

2019

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Two-Phase Sparsification With Secure Aggregation for Privacy-Aware Federated Learning

IEEE internet of things journal, 2024-08, Vol.11 (16), p.27112-27125

2024

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PDM: Privacy-Aware Deployment of Machine-Learning Applications for Industrial Cyber-Physical Cloud Systems

IEEE transactions on industrial informatics, 2021-08, Vol.17 (8), p.5819-5828

2021

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Strategic Gradient Transmission with Targeted Privacy-Awareness in Model Training: A Stackelberg Game Analysis

IEEE transactions on artificial intelligence, 2024, p.1-14

2024

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Modified Artificial Bee Colony Based Feature Optimized Federated Learning for Heart Disease Diagnosis in Healthcare

Applied sciences, 2022-12, Vol.12 (23), p.12080

2022

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Privacy-Aware Collaborative Learning for Skin Cancer Prediction

Diagnostics (Basel), 2023-07, Vol.13 (13), p.2264

2023

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Privacy Aware Acoustic Scene Synthesis Using Deep Spectral Feature Inversion

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020, p.886-890

2020

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Statistical Machine Learning for Human Behaviour Analysis

Entropy (Basel, Switzerland), 2020-05, Vol.22 (5), p.530

2020

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Privacy aware group based recommender system in multimedia services

Multimedia tools and applications, 2017-12, Vol.76 (24), p.26103-26127

2017

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Optimal Data Acquisition with Privacy-Aware Agents

2023 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2023, p.210-224

2023

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The role of compute nodes in privacy-aware decentralized AI

Proceedings of the 6th International Workshop on Embedded and Mobile Deep Learning, 2022, p.19-24

2022

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PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy

Proceedings of the 13th ACM Conference on Recommender Systems, 2019, p.457-461

2019

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Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition

Proceedings of the ACM Web Conference 2022, 2022, p.3611-3622

2022

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Convolutional Neural Network Structure to Detect and Localize CTC Using Image Processing

2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), 2022, p.1-7

2022

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Privacy-aware environmental sound classification for indoor human activity recognition

Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019, p.36-44

2019

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Data-Blind ML: Building privacy-aware machine learning models without direct data access

2021 IEEE Fourth International Conference on Artificial Intelligence and Knowledge Engineering (AIKE), 2021, p.95-98

2021

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An Efficient and Private ECG Classification System Using Split and Semi-Supervised Learning

Federated Machine Learning for Skin Lesion Diagnosis: An Asynchronous and Weighted Approach

Symmetry in Privacy-Based Healthcare: A Review of Skin Cancer Detection and Classification Using Federated Learning

Hybrid Classifier-Based Federated Learning in Health Service Providers for Cardiovascular Disease Prediction

Machine Learning Privacy Aware Anonymization Using MapReduce Based Neural Network

TIFF: Tokenized Incentive for Federated Learning

Efficient and Private ECG Classification on the Edge Using a Modified Split Learning Mechanism

Data adequacy bias impact in a data-blinded semi-supervised GAN for privacy-aware COVID-19 chest X-ray classification

Black Hole Algorithm for BigData Anonymization

On the Case of Privacy in the IoT Ecosystem: A Survey

Two-Phase Sparsification With Secure Aggregation for Privacy-Aware Federated Learning

PDM: Privacy-Aware Deployment of Machine-Learning Applications for Industrial Cyber-Physical Cloud Systems

Strategic Gradient Transmission with Targeted Privacy-Awareness in Model Training: A Stackelberg Game Analysis

Modified Artificial Bee Colony Based Feature Optimized Federated Learning for Heart Disease Diagnosis in Healthcare

Privacy-Aware Collaborative Learning for Skin Cancer Prediction

Privacy Aware Acoustic Scene Synthesis Using Deep Spectral Feature Inversion

Statistical Machine Learning for Human Behaviour Analysis

Privacy aware group based recommender system in multimedia services

Optimal Data Acquisition with Privacy-Aware Agents

The role of compute nodes in privacy-aware decentralized AI

PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy

Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition

Convolutional Neural Network Structure to Detect and Localize CTC Using Image Processing

Privacy-aware environmental sound classification for indoor human activity recognition

Data-Blind ML: Building privacy-aware machine learning models without direct data access

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