Author

Kahou Tam

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#federated learning Nov 2026

Transcending Memory Constraints in Federated Learning via Sequential Block-Wise Training

Federated Learning (FL) enables collaborative model training across distributed clients while preserving data privacy. However, the substantial memory footprint required for model training imposes a critical memory wall on resource-constrained edge devices, severely limiting their participation and compromising the inc...

Yebo Wu, Jing-Guang Li, Chunlin Tian et al. · IEEE Transactions on Paralle... · 1 citation

#artificial intelligence Apr 2026

TRU: Targeted Reverse Update for Efficient Multimodal Recommendation Unlearning

TRU performs three coordinated interventions across the model hierarchy: a ranking fusion gate to suppress residual target-item influence in ranking, branch-wise modality scaling to preserve retained multimodal representations, and capacity-aware parameter-group selection to localize reverse updates to deletion-sensiti...

Zhan-Ting Zhou, Kahou Tam, Ziqiang Zheng et al. · arXiv.org · 0 citations