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4. Federated Learning With Mutually Cooperating Devices: A Consensus Approach Towards Server-Less Model Optimization

Federated Learning With Mutually Cooperating Devices: A Consensus Approach Towards Server-Less Model Optimization

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IEEE ICASSP 2020 Virtual Conference May 2020

Abstract Federated learning (FL) is emerging as a new paradigm for training a machine learning model in cooperative networks. The model parameters are optimized collectively by large populations of interconnected devices, acting as cooperative learners th

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Federated Learning With Mutually Cooperating Devices: A Consensus Approach Towards Server-Less Model Optimization

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Abstract Federated learning (FL) is emerging as a new paradigm for training a machine learning model in cooperative networks. The model parameters are optimized collectively by large populations of interconnected devices, acting as cooperative learners th