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GeneralizableMulti-LinearAttentionNetwork

Neural Information Processing Systems

The majority of existing multimodal sequential learning methods focus on how to obtain powerful individual representations and neglect to effectively capture themultimodal joint representation. Bilinear attention network (BAN) isacommonly used integration method, which leverages tensor operations to associate thefeatures ofdifferent modalities.



Spectral Co-Distillation for Personalized Federated Learning

Neural Information Processing Systems

Personalized federated learning (PFL) has been widely investigated to address the challenge of data heterogeneity, especially when a single generic model is inadequate in satisfying the diverse performance requirements of local clients simultaneously.