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11/07/2022
Group Testing with Side Information via Generalized Approximate Message Passing
Group testing can help maintain a widespread testing program using fewer...
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06/08/2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning
Federated learning has been proposed as a privacy-preserving machine lea...
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10/07/2021
Neural Tangent Kernel Empowered Federated Learning
Federated learning (FL) is a privacy-preserving paradigm where multiple ...
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10/06/2021
Federated Learning via Plurality Vote
Federated learning allows collaborative workers to solve a machine learn...
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08/02/2021
Communication-Efficient Federated Learning via Predictive Coding
Federated learning can enable remote workers to collaboratively train a ...
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07/11/2021
Remote Blood Oxygen Estimation From Videos Using Neural Networks
Blood oxygen saturation (SpO_2) is an essential indicator of respiratory...
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06/04/2021
Contact Tracing Information Improves the Performance of Group Testing Algorithms
Group testing can help maintain a widespread testing program using fewer...
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03/26/2021
Modeling the Nonsmoothness of Modern Neural Networks
Modern neural networks have been successful in many regression-based tas...
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01/12/2021
Toward Effective Automated Content Analysis via Crowdsourcing
Many computer scientists use the aggregated answers of online workers to...
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11/28/2020