Incentivizing Differentially Private Federated Learning: A Multidimensional Contract Approach
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3050163
Abstract: Federated learning is a promising tool in the Internet-of-Things (IoT) domain for training a machine learning model in a decentralized manner. Specifically, the data owners (e.g., IoT device consumers) keep their raw data and only… read more here.
Keywords: private federated; federated learning; model; incentive mechanism ... See more keywords
Differentially Private Federated Learning via Reconfigurable Intelligent Surface
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3168066
Abstract: Federated learning (FL), as a disruptive machine learning (ML) paradigm, enables the collaborative training of a global model over decentralized local data sets without sharing them. It spans a wide scope of applications from the… read more here.
Keywords: intelligent surface; federated learning; differentially private; private federated ... See more keywords
Differentially Private Federated Learning for Genomic-Based Stomach Adenocarcinoma Detection in Consumer Medical IoT
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2025.3565962
Abstract: Stomach Adenocarcinoma (STAD) significantly contributes to global cancer mortality, underscoring the urgent need for precise diagnostic methods. Traditionally, artificial intelligence (AI) methods have relied heavily on imaging techniques like CT, PET, and MRI. However, genomic… read more here.
Keywords: consumer; private federated; stomach adenocarcinoma; consumer medical ... See more keywords
Differentially Private Federated Learning With an Adaptive Noise Mechanism
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3318944
Abstract: Federated Learning (FL) enables multiple distributed clients to collaboratively train a model with owned datasets. To avoid the potential privacy threat in FL, researchers propose the DP-FL strategy, which utilizes differential privacy (DP) to add… read more here.
Keywords: privacy; private federated; federated learning; differentially private ... See more keywords
CSRA: Robust Incentive Mechanism Design for Differentially Private Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2023.3329441
Abstract: The differentially private federated learning (DPFL) paradigm emerges to firmly preserve data privacy from two perspectives. First, decentralized clients merely exchange model updates rather than raw data with a parameter server (PS) over multiple communication… read more here.
Keywords: robust incentive; private federated; csra; dishonest clients ... See more keywords
Boosting Accuracy of Differentially Private Federated Learning in Industrial IoT With Sparse Responses
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3161517
Abstract: Empowered by 5G, it has been extensively explored by existing works on the deployment of differentially private federated learning (DPFL) in the Industrial Internet of Things (IIoT). Through federated learning, decentralized IIoT devices can collaboratively… read more here.
Keywords: accuracy; federated learning; differentially private; private federated ... See more keywords
Differentially Private Federated Learning for Multitask Objective Recognition
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2023.3342897
Abstract: Many machine learning models are naturally multitask, which may involve regression and classification tasks, in which they can be trained by the multitask network to yield a more generalized model with the aid of correlated… read more here.
Keywords: multitask objective; multitask; private federated; learning multitask ... See more keywords
A Socially Optimal Data Marketplace With Differentially Private Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE/ACM Transactions on Networking"
DOI: 10.1109/tnet.2024.3351864
Abstract: Federated learning (FL) enables multiple data owners to collaboratively train machine learning (ML) models for different model requesters while keeping data localized. Thus, FL can mitigate privacy leakage in conventional data marketplaces for ML applications… read more here.
Keywords: data marketplace; marketplace differentially; private federated; marketplace ... See more keywords
Differential Private Federated Learning in Geographically Distributed Public Administration Processes
Sign Up to like & getrecommendations! Published in 2024 at "Future Internet"
DOI: 10.3390/fi16070220
Abstract: Public administration frequently deals with geographically scattered personal data between multiple government locations and organizations. As digital technologies advance, public administration is increasingly relying on collaborative intelligence while protecting individual privacy. In this context, federated… read more here.
Keywords: differential private; privacy; private federated; administration ... See more keywords