A Blockchain Solution for Collaborative Machine Learning over IoT
Authors: Carlos Beis-Penedo, Francisco Troncoso-Pastoriza, Rebeca P. Díaz-Redondo, Ana Fernández-Vilas, Manuel Fernández-Veiga, Martín González Soto | Published: 2023-11-23
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DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release
Authors: Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran | Published: 2023-11-23 | Updated: 2023-11-29
PrivateLoRA For Efficient Privacy Preserving LLM
Authors: Yiming Wang, Yu Lin, Xiaodong Zeng, Guannan Zhang | Published: 2023-11-23
Enhancing Intrusion Detection In Internet Of Vehicles Through Federated Learning
Authors: Abhishek Sebastian, Pragna R, Sudhakaran G, Renjith P N, Leela Karthikeyan H | Published: 2023-11-23
From Principle to Practice: Vertical Data Minimization for Machine Learning
Authors: Robin Staab, Nikola Jovanović, Mislav Balunović, Martin Vechev | Published: 2023-11-17 | Updated: 2023-11-22
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?
Authors: Robert A. Bridges, Vandy J. Tombs, Christopher B. Stanley | Published: 2023-11-15 | Updated: 2024-06-11
Input Reconstruction Attack against Vertical Federated Large Language Models
Authors: Fei Zheng | Published: 2023-11-07 | Updated: 2023-11-24
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Authors: Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He | Published: 2023-10-14 | Updated: 2024-06-06
Practical, Private Assurance of the Value of Collaboration via Fully Homomorphic Encryption
Authors: Hassan Jameel Asghar, Zhigang Lu, Zhongrui Zhao, Dali Kaafar | Published: 2023-10-04 | Updated: 2024-10-07
zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning
Authors: Zhipeng Wang, Nanqing Dong, Jiahao Sun, William Knottenbelt, Yike Guo | Published: 2023-10-04 | Updated: 2024-05-10