Update README.md

README.md

@@ -9,17 +9,14 @@ multilinguality:
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 ## FedJam Dataset
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 The **FedJam dataset** is a **multimodal dataset** designed for jamming detection and classification in wireless networks, pairing time–frequency spectrogram images with cross-layer network KPI time series. 
 Each sample contains **aligned vision and time-series modalities**, enabling joint modeling of physical-layer signal characteristics and network-layer performance indicators.
 
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 ## Code
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 The research code for the paper **_“FedJam: Multi-Modal Federated Learning Framework for Jamming Detection”_**,  
 which uses this dataset, can be accessed here:
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 GitHub repository: https://github.com/panitsasi/fedJam (accepted at IEEE INFOCOM 2026)
 
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@@ -125,7 +122,7 @@ plt.show()
 If you use this dataset, please cite:
 ```python
 I. Panitsas, I. Ofeidis, and L. Tassiulas,
-“FedJam: Multimodal Federated Learning Framework for Jamming Detection,”
+“FedJam: Multimodal Federated Learning Framework for Jamming Detection”
 arXiv:2508.09369 [cs.NI], 2025. doi:10.48550/arXiv.2508.09369.
 ```