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07/03/2022
Protea: Client Profiling within Federated Systems using Flower
Federated Learning (FL) has emerged as a prospective solution that facil...
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09/08/2021
AgreementLearning: An End-to-End Framework for Learning with Multiple Annotators without Groundtruth
The annotation of domain experts is important for some medical applicati...
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08/11/2020
Degree-Quant: Quantization-Aware Training for Graph Neural Networks
Graph neural networks (GNNs) have demonstrated strong performance on a w...
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07/28/2020
Flower: A Friendly Federated Learning Research Framework
Federated Learning (FL) has emerged as a promising technique for edge de...
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03/27/2020
Mic2Mic: Using Cycle-Consistent Generative Adversarial Networks to Overcome Microphone Variability in Speech Systems
Mobile and embedded devices are increasingly using microphones and audio...
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07/08/2019
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning
End-to-end automatic speech recognition (ASR) models are increasingly la...
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03/08/2017
