3 papers
cs.LG2024
Efficient High-Resolution Time Series Classification via Attention Kronecker Decomposition
Aosong Feng, Jialin Chen, Juan Garza +5
The high-resolution time series classification problem is essential due to the increasing availability of detailed temporal data in various domains. To tackle this challenge effect…
cs.LG2022
Federated Learning with Erroneous Communication Links
Mahyar Shirvanimoghaddam, Ayoob Salari, Yifeng Gao +1
In this paper, we consider the federated learning (FL) problem in the presence of communication errors. We model the link between the devices and the central node (CN) by a packet…
cs.CR2021
Differential Privacy in Privacy-Preserving Big Data and Learning: Challenge and Opportunity
Honglu Jiang, Yifeng Gao, S M Sarwar +2
Differential privacy (DP) has become the de facto standard of privacy preservation due to its strong protection and sound mathematical foundation, which is widely adopted in differ…