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Found 3 papers, 0 papers with code
A Generative Framework for Low-Cost Result Validation of Outsourced Machine Learning Tasks
Fides features a client-side attack detection model that uses statistical analysis and divergence measurements to identify, with a high likelihood, if the service model is under attack.
AMI-FML: A Privacy-Preserving Federated Machine Learning Framework for AMI
The aggregator uses the learned model gradients received from the federated smart meters to generate an aggregate, robust RNN model which improves the forecasting accuracy for individual and aggregated STLF.
Democratizing the Edge: A Pervasive Edge Computing Framework
The needs of emerging applications, such as augmented and virtual reality, federated machine learning, and autonomous driving, have motivated edge computing--the push of computation capabilities to the edge.
Networking and Internet Architecture
