Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms
Authors: Ming Xiang, Lili Su | Published: 2022-10-03 | Updated: 2023-02-17
Algorithm
Identifying Emerging Technologies and Leading Companies using Network Dynamics of Patent Clusters: a Cybersecurity Case Study
Authors: Michael Tsesmelis, Ljiljana Dolamic, Marcus Matthias Keupp, Dimitri Percia David, Alain Mermoud | Published: 2022-09-21
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data
Authors: Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin | Published: 2022-09-18
IoT Data Analytics in Dynamic Environments: From An Automated Machine Learning Perspective
Authors: Li Yang, Abdallah Shami | Published: 2022-09-16
Deepfake histological images for enhancing digital pathology
Authors: Kianoush Falahkheirkhah, Saumya Tiwari, Kevin Yeh, Sounak Gupta, Loren Herrera-Hernandez, Michael R. McCarthy, Rafael E. Jimenez, John C. Cheville, Rohit Bhargava | Published: 2022-06-16
On Private Online Convex Optimization: Optimal Algorithms in $\ell_p$-Geometry and High Dimensional Contextual Bandits
Authors: Yuxuan Han, Zhicong Liang, Zhipeng Liang, Yang Wang, Yuan Yao, Jiheng Zhang | Published: 2022-06-16
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data
Authors: Fangcheng Fu, Huanran Xue, Yong Cheng, Yangyu Tao, Bin Cui | Published: 2022-06-16
HyperImpute: Generalized Iterative Imputation with Automatic Model Selection
Authors: Daniel Jarrett, Bogdan Cebere, Tennison Liu, Alicia Curth, Mihaela van der Schaar | Published: 2022-06-15
Differentially Private Sampling from Rashomon Sets, and the Universality of Langevin Diffusion for Convex Optimization
Authors: Arun Ganesh, Abhradeep Thakurta, Jalaj Upadhyay | Published: 2022-04-04 | Updated: 2023-08-28
Byzantine-Robust Federated Linear Bandits
Authors: Ali Jadbabaie, Haochuan Li, Jian Qian, Yi Tian | Published: 2022-04-03