Federated learning
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USC + Amazon Center on Secure and Trusted Machine Learning selects initial research projects
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The USC + Amazon Center on Secure and Trusted Machine Learning, established in January 2021 to support fundamental research and development of new ...

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USC + Amazon Center on Secure and Trusted Machine Learning selects two PhD fellows
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The USC + Amazon Center on Secure and Trusted Machine Learning, established in January 2021 to support fundamental research and development of new ...

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Advances in trustworthy machine learning at Alexa AI
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At Amazon, we take the protection of customer data very seriously. We are also committed to eliminating the biases that can exist in off-the-shelf language ...

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Personalized federated learning for a better customer experience
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Federated learning (FL) is a framework that allows edge devices (e.g., Alexa devices) to collaboratively train a global model while keeping customers’ data ...

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Federated learning with weak supervision for speech recognition
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Automatic-speech-recognition (ASR) models, which transcribe spoken utterances, are a key component of voice assistants. They are increasingly being deployed ...

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Continual learning in the federated-learning context
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Federated learning is a process in which distributed devices, each with its own store of locally collected data, can contribute to a global machine learning ...

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