3 papers
cs.NI2025
Generative Active Adaptation for Drifting and Imbalanced Network Intrusion Detection
Ragini Gupta, Shinan Liu, Ruixiao Zhang +7
Machine learning has shown promise in network intrusion detection systems, yet its performance often degrades due to concept drift and imbalanced data. These challenges are compoun…
cs.DC2024
FedCore: Straggler-Free Federated Learning with Distributed Coresets
Hongpeng Guo, Haotian Gu, Xiaoyang Wang +5
Federated learning (FL) is a machine learning paradigm that allows multiple clients to collaboratively train a shared model while keeping their data on-premise. However, the stragg…
cs.DC2023
Moirai: Towards Optimal Placement for Distributed Inference on Heterogeneous Devices
Beibei Zhang, Hongwei Zhu, Feng Gao +2
The escalating size of Deep Neural Networks (DNNs) has spurred a growing research interest in hosting and serving DNN models across multiple devices. A number of studies have been…