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Federated Learning with MMD-based Early Stop** for Adaptive GNSS Interference Classification
NS Gaikwad, L Heublein, NL Raichur, T Feigl… - arxiv preprint arxiv …, 2024 - arxiv.org
Federated learning (FL) enables multiple devices to collaboratively train a global model
while maintaining data on local servers. Each device trains the model on its local server and …
while maintaining data on local servers. Each device trains the model on its local server and …
Rethinking the Roles of Time and Frequency Domains Before Tackling Time Series UDA
FY Su, CC Tsao, JH Chiang - openreview.net
In time-series unsupervised domain adaptation (UDA), the adaptation between temporal
and frequency domain features has been relatively underexplored. To address this gap, we …
and frequency domain features has been relatively underexplored. To address this gap, we …