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end-to-end-speech-recognition

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Federated learning for Speech LLMs (WavLM+TinyLlama & Voxtral) with Flower and PyTorch Lightning. LoRA fine-tuning across MLS clients with FedAvg/FedProx, IID and speaker-based partitioning, per-round LR decay, W&B logging, and multi-GPU Ray simulation. Only adapter weights are shared — raw audio never leaves the client

  • Updated Apr 24, 2026
  • Python

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