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#machine learning Preprint Sep 2026

What Should Federated LoRA Share? FedSAIL via Input-aware Subspace Alignment

This work introduces an input-aware action matrix that weights the adapter update by the second-moment statistics of local layer inputs and proposes Federated Subspace-Guided Action-Informed Learning (FedSAIL), which improves predictive performance over competing federated LoRA methods while reducing communication cost...

Jun-Ye Du, Shuai-Da He, Long Feng · 0 citations
Preprint Sep 2026

Learning CNN Filters via Generalized Stein's Method

Convolutional Neural Networks (CNNs) have undoubtedly revolutionized image data analysis and the field of computer vision. As the cornerstone of CNNs, the convolution operation enables the networks to extract abstract features and uncover hidden relationships in the image data. This paper considers the problem of estim...

Guang Yang, Wei Shi, Yuan Cao et al. · 0 citations

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