app(flowerhub): Add NanoGPT Shakespeare federated learning example#6630
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zzsi wants to merge 7 commits intoflwrlabs:mainfrom
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app(flowerhub): Add NanoGPT Shakespeare federated learning example#6630zzsi wants to merge 7 commits intoflwrlabs:mainfrom
zzsi wants to merge 7 commits intoflwrlabs:mainfrom
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Character-level language modeling with a baby GPT (~10.8M params) on the Tiny Shakespeare dataset. Supports both Simulation Engine and Deployment Engine modes. Uses FedAvg with server-side evaluation and text generation after training.
zzsi
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danieljanes,
jafermarq,
panh99,
tanertopal and
yan-gao-GY
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Mar 2, 2026
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Hi @zzsi Thank you for creating this PR — it looks great! I’ve just made a few minor formatting changes. Please feel free to create a Flower account and publish the app on Flower Hub. Thanks again for you contribution!
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@yan-gao-GY thanks, will do |
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This app has been published on Flower Hub - https://flower.ai/apps/zzsikungfu/nanogpt-shakespeare/ |
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Summary
train.bin/val.bindata)Details
The model is a "baby GPT" — small enough to train on CPU. Over 5 rounds with 2 simulated clients (50 steps each), validation perplexity drops from ~69 to ~12.4.
Test plan
flwr run .simulation (5 rounds, 2 clients, CPU)flwr app publishworkflow