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Zepu Yi

2 accepted papers

2025

FedDiT: Federated Learning by Distillation Token Enhanced Vision Transformer

ICASSP 2025accepted

Federated learning (FL) is a promising approach for privacy-preserving machine learning, enabling collaborative model training across distributed devices without sharing raw data. However, FL faces significant challenges due to the nonindependent and identically distributed (non-IID) nature of data…

Cited by 0SourceScholar
2024

MACCN: Multi-Modal Adaptive Co-Attention Fusion Contrastive Learning Networks for Fake News Detection

ICASSP 2024accepted

With the rapid proliferation of social networks, individuals now have greater access to news with increased speed. Simultaneously, there has been a heightened emphasis on detecting and mitigating the dissemination of fake news. One notable limitation of existing fake news detection models is their i…

Cited by 0SourceScholar