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Lingkai Xing

2 accepted papers

2025

DSDIR: A Two-Stage Method for Addressing Noisy Long-Tailed Problems in Malicious Traffic Detection

ICASSP 2025accepted

In recent years, deep learning based malicious traffic detection (MTD) systems have demonstrated remarkable success. However, their effectiveness tend to decrease because most malicious traffic datasets are suffered from noisy-labeled and long-tailed problems. While numerous approaches have been dev…

Cited by 0SourceScholar
2025

FedFLD: Heterogeneous Federated Learning via Forget-Less Distillation

ICASSP 2025accepted

Federated learning, as a distributed machine learning paradigm, enhances privacy protection but faces the challenge of heterogeneity. Data-free knowledge distillation (DFKD) methods attempt to overcome this challenge by using a generator to synthesize samples for fine-tuning a global model. However,…

Cited by 0SourceScholar