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Enabling Fully Sharded Data Parallel (FSDP2) in Opacus

PyTorch Blog · published 7 July 2025

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https://opacus.ai/

opacus.ai

https://medium.com/pytorch/differential-privacy-series-part-2-efficient-per-sample-gradient-computation-in-opacus-5bf4031d9e22

medium.com

https://opacus.ai/tutorials/ddp_tutorial

opacus.ai

https://www.llama.com/

llama.com

https://github.com/pytorch/opacus/blob/main/examples/fsdp_example.py

github.com

Fully Sharded Data Parallel: faster AI training with fewer GPUs Read at the source ↗

engineering.fb.com

https://arxiv.org/pdf/2304.11277

arxiv.org

https://huggingface.co/docs/accelerate/en/concept_guides/fsdp1_vs_fsdp2

huggingface.co

https://github.com/pytorch/opacus/blob/main/opacus/tests/multigpu_fsdpcheck.py

github.com

Elsewhere on pytorch.org (6)

Enabling Fast Gradient Clipping and Ghost Clipping in Opacus Read at the source ↗

https://pytorch.org/wp-content/uploads/2025/07/figure1.svg

pytorch.org

https://docs.pytorch.org/tutorials/intermediate/FSDP_tutorial.html

docs.pytorch.org

https://docs.pytorch.org/docs/stable/distributed.fsdp.fully_shard.html

docs.pytorch.org

https://docs.pytorch.org/docs/stable/fsdp.html

docs.pytorch.org

https://pytorch.org/wp-content/uploads/2025/07/figure2.svg

pytorch.org