Privacy-Preserving Data in IoT-based Cloud Systems: A Comprehensive Survey with AI Integration
Authors: D. Dhinakaran, S. M. Udhaya Sankar, D. Selvaraj, S. Edwin Raja | Published: 2024-01-01
連合学習
AIJack: Let’s Hijack AI! Security and Privacy Risk Simulator for Machine Learning
Authors: Hideaki Takahashi | Published: 2023-12-29 | Updated: 2024-04-08
Differentially Private Low-Rank Adaptation of Large Language Model Using Federated Learning
Authors: Xiao-Yang Liu, Rongyi Zhu, Daochen Zha, Jiechao Gao, Shan Zhong, Matt White, Meikang Qiu | Published: 2023-12-29 | Updated: 2024-06-02
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms
Authors: Sofia Zahri, Hajar Bennouri, Ahmed M. Abdelmoniem | Published: 2023-12-24
Decentralised and collaborative machine learning framework for IoT
Authors: Martín González-Soto, Rebeca P. Díaz-Redondo, Manuel Fernández-Veiga, Bruno Rodríguez-Castro, Ana Fernández-Vilas | Published: 2023-12-19
A review of federated learning in renewable energy applications: Potential, challenges, and future directions
Authors: Albin Grataloup, Stefan Jonas, Angela Meyer | Published: 2023-12-18
Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data
Authors: Youssra Cheriguene, Wael Jaafar, Halim Yanikomeroglu, Chaker Abdelaziz Kerrache | Published: 2023-12-16
Beyond Gradient and Priors in Privacy Attacks: Leveraging Pooler Layer Inputs of Language Models in Federated Learning
Authors: Jianwei Li, Sheng Liu, Qi Lei | Published: 2023-12-10 | Updated: 2024-03-15
Privacy-preserving quantum federated learning via gradient hiding
Authors: Changhao Li, Niraj Kumar, Zhixin Song, Shouvanik Chakrabarti, Marco Pistoia | Published: 2023-12-07
FedBayes: A Zero-Trust Federated Learning Aggregation to Defend Against Adversarial Attacks
Authors: Marc Vucovich, Devin Quinn, Kevin Choi, Christopher Redino, Abdul Rahman, Edward Bowen | Published: 2023-12-04