#krylov-subspaces News & Analysis

2 articles tagged with #krylov-subspaces. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · Jun 237/10

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Memory Is No Longer a Bottleneck: Memory-Efficient Graph Filtering for Scalable Collaborative Filtering

Researchers have developed Mem-GF, a memory-efficient graph filtering method for collaborative filtering that eliminates the need to store full item similarity graphs. The approach uses Krylov subspaces to approximate polynomial graph filters, achieving 5.74× lower memory usage and 4.38× faster runtime while maintaining or exceeding recommendation accuracy of existing methods.

AINeutralarXiv – CS AI · Jun 96/10

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Causal Unlearning in Collaborative Optimization: Exact and Approximate Influence Reversal under Adversarial Contributions

Researchers present HF-KCU, a federated learning method that efficiently removes clients' data contributions while maintaining privacy compliance, achieving 47.75x speedup over retraining while preserving model accuracy. The technique uses Krylov subspace approximations and causal weighting to handle data deletion requests in production systems without compromising unaffected participants.