Federated learning Archives

Continual learning in the federated-learning context

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 model...

Events & Conferences2 years ago

Federated learning with weak supervision for speech recognition

Automatic-speech-recognition (ASR) models, which transcribe spoken utterances, are a key component of voice assistants. They are increasingly being deployed on devices at the edge of the...

Events & Conferences3 years ago

Personalized federated learning for a better customer experience

Federated learning (FL) is a framework that allows edge devices (e.g., Alexa devices) to collaboratively train a global model while keeping customers’ data on-device. A standard FL...

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All posts tagged "Federated learning"

Continual learning in the federated-learning context

Federated learning with weak supervision for speech recognition

Personalized federated learning for a better customer experience