AIBullisharXiv – CS AI · 18h ago6/10
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Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism
Researchers have adapted GPU parallelism techniques to neural network verification, enabling formal safety proofs on larger models. Fully Sharded Data Parallelism (FSDP) reduces memory usage by 80-90% while maintaining identical verification results, though Tensor Parallelism trades some bound quality for memory efficiency.
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