Fluent: Round-efficient Secure Aggregation for Private Federated Learning
Authors: Xincheng Li, Jianting Ning, Geong Sen Poh, Leo Yu Zhang, Xinchun Yin, Tianwei Zhang | Published: 2024-03-10
Federated Learning
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Authors: Dorjan Hitaj, Giulio Pagnotta, Fabio De Gaspari, Sediola Ruko, Briland Hitaj, Luigi V. Mancini, Fernando Perez-Cruz | Published: 2024-03-06 | Updated: 2025-05-13
Enhancing Security in Federated Learning through Adaptive Consensus-Based Model Update Validation
Authors: Zahir Alsulaimawi | Published: 2024-03-05
Federated Learning Under Attack: Exposing Vulnerabilities through Data Poisoning Attacks in Computer Networks
Authors: Ehsan Nowroozi, Imran Haider, Rahim Taheri, Mauro Conti | Published: 2024-03-05
Enhancing Data Provenance and Model Transparency in Federated Learning Systems — A Database Approach
Authors: Michael Gu, Ramasoumya Naraparaju, Dongfang Zhao | Published: 2024-03-03
Analysis of Privacy Leakage in Federated Large Language Models
Authors: Minh N. Vu, Truc Nguyen, Tre' R. Jeter, My T. Thai | Published: 2024-03-02
Defending Against Data Reconstruction Attacks in Federated Learning: An Information Theory Approach
Authors: Qi Tan, Qi Li, Yi Zhao, Zhuotao Liu, Xiaobing Guo, Ke Xu | Published: 2024-03-02
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs
Authors: Anika Hannemann, Jan Ewald, Leo Seeger, Erik Buchmann | Published: 2024-02-22
Federated Bayesian Network Ensembles
Authors: Florian van Daalen, Lianne Ippel, Andre Dekker, Inigo Bermejo | Published: 2024-02-19
A chaotic maps-based privacy-preserving distributed deep learning for incomplete and Non-IID datasets
Authors: Irina Arévalo, Jose L. Salmeron | Published: 2024-02-15