| DeepSpeedMicrosoft | ||||||
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| About
            DeepSpeed is an open source deep learning optimization library for PyTorch.  It's designed to reduce computing power and memory use, and to train large distributed models with better parallelism on existing computer hardware.  DeepSpeed is optimized for low latency, high throughput training.
DeepSpeed can train DL models with over a hundred billion parameters on the current generation of GPU clusters.  It can also train up to 13 billion parameters in a single GPU.
DeepSpeed is developed by Microsoft and aims to offer distributed training for large-scale models. It's built on top of PyTorch, which specializes in data parallelism. 
             | About
            Flower is an open source federated learning framework designed to simplify the development and deployment of machine learning models across decentralized data sources. It enables training on data located on devices or servers without transferring the data itself, thereby enhancing privacy and reducing bandwidth usage. Flower supports a wide range of machine learning frameworks, including PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and XGBoost, and is compatible with various platforms and cloud services like AWS, GCP, and Azure. It offers flexibility through customizable strategies and supports both horizontal and vertical federated learning scenarios. Flower's architecture allows for scalable experiments, with the capability to handle workloads involving tens of millions of clients. It also provides built-in support for privacy-preserving techniques like differential privacy and secure aggregation.
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| Audience
        Deep learning model developers
         | Audience
        Machine learning practitioners and researchers in search of a tool to implement privacy-preserving, decentralized model training across diverse devices and platforms
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| Company InformationMicrosoft Founded: 1975 United States www.deepspeed.ai/ | Company InformationFlower Founded: 2023 Germany flower.ai/ | |||||
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    PyTorch
            
            
         
            
                
    Python
            
            
         
            
                
    Amazon Web Services (AWS)
            
            
         
            
                
    Android
            
            
         
            
                
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    Axolotl
            
            
         
            
                
    Cake AI
            
            
         
            
                
    Comet LLM
            
            
         
            
                
    Docker
            
            
         
            
                
    Hugging Face
            
            
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