2 papers
cs.DC2025
Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction
Chuanting Zhang, Haixia Zhang, Shuping Dang +2
Wireless traffic prediction plays an indispensable role in cellular networks to achieve proactive adaptation for communication systems. Along this line, Federated Learning (FL)-bas…
cs.LG2024
Minusformer: Improving Time Series Forecasting by Progressively Learning Residuals
Daojun Liang, Haixia Zhang, Dongfeng Yuan +2
In this paper, we find that ubiquitous time series (TS) forecasting models are prone to severe overfitting. To cope with this problem, we embrace a de-redundancy approach to progre…