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07/31/2023
Latent Masking for Multimodal Self-supervised Learning in Health Timeseries
Limited availability of labeled data for machine learning on biomedical ...
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03/30/2023
Practical self-supervised continual learning with continual fine-tuning
Self-supervised learning (SSL) has shown remarkable performance in compu...
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11/08/2022
Centaur: Federated Learning for Constrained Edge Devices
Federated learning (FL) on deep neural networks facilitates new applicat...
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05/23/2022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
Federated learning is generally used in tasks where labels are readily a...
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02/17/2022
FLAME: Federated Learning Across Multi-device Environments
Federated Learning (FL) enables distributed training of machine learning...
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02/01/2022
ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition
A major bottleneck in training robust Human-Activity Recognition models ...
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01/19/2022
Tiny, always-on and fragile: Bias propagation through design choices in on-device machine learning workflows
Billions of distributed, heterogeneous and resource constrained smart co...
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12/26/2021
FRuDA: Framework for Distributed Adversarial Domain Adaptation
Breakthroughs in unsupervised domain adaptation (uDA) can help in adapti...
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09/08/2021
SensiX++: Bringing MLOPs and Multi-tenant Model Serving to Sensory Edge Devices
We present SensiX++ - a multi-tenant runtime for adaptive model executio...
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04/07/2021
On-device Federated Learning with Flower
Federated Learning (FL) allows edge devices to collaboratively learn a s...
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01/27/2021
Low-Power Audio Keyword Spotting using Tsetlin Machines
The emergence of Artificial Intelligence (AI) driven Keyword Spotting (K...
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12/04/2020
SensiX: A Platform for Collaborative Machine Learning on the Edge
The emergence of multiple sensory devices on or near a human body is unc...
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11/03/2020
Leveraging Activity Recognition to Enable Protective Behavior Detection in Continuous Data
Protective behavior exhibited by people with chronic pain (CP) during ph...
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10/13/2020
A first look into the carbon footprint of federated learning
Despite impressive results, deep learning-based technologies also raise ...
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09/06/2020
Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation
This paper introduces a new dataset, Libri-Adapt, to support unsupervise...
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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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02/24/2019