ArXiv TLDR

Feihu Huang

2 papers · Latest:

Machine Learning

AdaBFL: Multi-Layer Defensive Adaptive Aggregation for Bzantine-Robust Federated Learning

AdaBFL introduces a multi-layer adaptive aggregation to robustly defend federated learning against diverse Byzantine attacks without server-side data.

2604.27434
Machine Learning

CLion: Efficient Cautious Lion Optimizer with Enhanced Generalization

This paper introduces CLion, a novel optimizer that improves upon Lion by achieving better generalization error and faster convergence for deep learning models.

2604.14587

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