Real 5G testbed experiments show consistent stragglers in 70% of federated learning trials due to communication delays, challenging common wireless FL assumptions.
Out-of-distribution internet traffic pre- diction generalization using deep sequence model, in: Proceedings of the 46th IEEE International Conference on Communications, pp
3 Pith papers cite this work. Polarity classification is still indexing.
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This is the first comprehensive survey of OOD generalization methodologies for time series, organized across data distribution, representation learning, and OOD evaluation.
SinFormer is a tailored transformer that applies multi-scale self-attention and staged training to improve accuracy and robustness in radio frequency fingerprint identification on real-world data.
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SinFormer: A Tailored Transformer for Robust Radio Frequency Fingerprint Identification
SinFormer is a tailored transformer that applies multi-scale self-attention and staged training to improve accuracy and robustness in radio frequency fingerprint identification on real-world data.