most citedUnimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation

5 citations · 7 across the 2 of their papers we have counts for

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cs.LG2024

SFC: Achieve Accurate Fast Convolution under Low-precision Arithmetic

Liulu He, Yufei Zhao, Rui Gao +2

Fast convolution algorithms, including Winograd and FFT, can efficiently accelerate convolution operations in deep models. However, these algorithms depend on high-precision arithm…

cs.LG2023★ 5 cited

Unimodal Training-Multimodal Prediction: Cross-modal Federated Learning with Hierarchical Aggregation

Rongyu Zhang, Xiaowei Chi, Guiliang Liu +3

Multimodal learning has seen great success mining data features from multiple modalities with remarkable model performance improvement. Meanwhile, federated learning (FL) addresses…