Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks
Authors: Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb | Published: 2023-08-01 | Updated: 2025-05-08
Federated Learning
Integration of Digital Twin and Federated Learning for Securing Vehicular Internet of Things
Authors: Deepti Gupta, Shafika Showkat Moni, Ali Saman Tosun | Published: 2023-07-25
Security and Privacy Issues of Federated Learning
Authors: Jahid Hasan | Published: 2023-07-22
Privacy-preserving patient clustering for personalized federated learning
Authors: Ahmed Elhussein, Gamze Gursoy | Published: 2023-07-17
Population Expansion for Training Language Models with Private Federated Learning
Authors: Tatsuki Koga, Congzheng Song, Martin Pelikan, Mona Chitnis | Published: 2023-07-14
Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
Authors: Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He | Published: 2023-07-10
Convergence of Communications, Control, and Machine Learning for Secure and Autonomous Vehicle Navigation
Authors: Tengchan Zeng, Aidin Ferdowsi, Omid Semiari, Walid Saad, Choong Seon Hong | Published: 2023-07-05
Defending Against Poisoning Attacks in Federated Learning with Blockchain
Authors: Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, William Knottenbelt, Eric Xing | Published: 2023-07-02 | Updated: 2024-03-12
VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing
Authors: Mingxuan Fan, Yilun Jin, Liu Yang, Zhenghang Ren, Kai Chen | Published: 2023-06-28
Optimal Differentially Private Model Training with Public Data
Authors: Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn | Published: 2023-06-26 | Updated: 2024-09-09