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ml-reproducibility

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Fatemerjn / Federated_Deep_Generative_Model

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This repository explores federated deep generative models with PyTorch, featuring Conditional DCGAN, FedGAN v2, and custom synchronization strategies. It demonstrates client-server training with FedAvg, non-IID data splits, and GAN evaluation, providing a foundation for research in privacy-preserving generative modeling.

transformers pytorch differential-privacy edge-computing distributed-training federated-learning deep-generative-models federated-optimization privacy-preserving-ml diffusion-models secure-aggregation federated-gan non-iid-data federated-vae ml-reproducibility
  • Updated Oct 14, 2025
  • Jupyter Notebook

nshkrdotcom / cgl

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Causal Generalization Laboratory — Predicting and Controlling Global Behavioral Change During Fine-Tuning, Continued Adaptation, and Skill Composition in Open-Weight Language Models

machine-learning artificial-intelligence alignment forecasting lora language-models causal-inference model-evaluation ai-safety generalization fine-tuning ai-python compositional-generalization behavioral-science mechanistic-interpretability ml-research ml-reproducibility emergent-misalignment nshkr-ml-research ai-pytorch
  • Updated Sep 8, 2026
  • Python

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