Drop-Then-Recovery: How Redundant Are Vision-Language-Action Models?
Paper • 2606.27755 • Published • 6
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charleslipku
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FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations
Paper • 2409.05976 • Published
Domino: Eliminating Communication in LLM Training via Generic Tensor Slicing and Overlapping
Paper • 2409.15241 • Published • 1
What Matters in Transformers? Not All Attention is Needed
Paper • 2406.15786 • Published • 33
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
Paper • 2310.03156 • Published • 1
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting
Paper • 2402.15070 • Published