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08/20/2023
Wasserstein Geodesic Generator for Conditional Distributions
Generating samples given a specific label requires estimating conditiona...
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04/01/2023
GreenScale: Carbon-Aware Systems for Edge Computing
To improve the environmental implications of the growing demand of compu...
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11/30/2022
FedGPO: Heterogeneity-Aware Global Parameter Optimization for Efficient Federated Learning
Federated learning (FL) has emerged as a solution to deal with the risk ...
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02/09/2022
Covariate-informed Representation Learning with Samplewise Optimal Identifiable Variational Autoencoders
Recently proposed identifiable variational autoencoder (iVAE, Khemakhem ...
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07/16/2021
AutoFL: Enabling Heterogeneity-Aware Energy Efficient Federated Learning
Federated learning enables a cluster of decentralized mobile devices at ...
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12/04/2020
Kernel-convoluted Deep Neural Networks with Data Augmentation
The Mixup method (Zhang et al. 2018), which uses linearly interpolated d...
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10/28/2020
Chasing Carbon: The Elusive Environmental Footprint of Computing
Given recent algorithm, software, and hardware innovation, computing has...
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05/06/2020
