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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 ...

0 Shohreh Deldari, et al. ∙

∙ 03/30/2023

Practical self-supervised continual learning with continual fine-tuning

Self-supervised learning (SSL) has shown remarkable performance in compu...

0 Chi Ian Tang, et al. ∙

∙ 11/08/2022

Centaur: Federated Learning for Constrained Edge Devices

Federated learning (FL) on deep neural networks facilitates new applicat...

0 Fan Mo, et al. ∙

∙ 05/23/2022

Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering

Federated learning is generally used in tasks where labels are readily a...

0 Ekdeep Singh Lubana, et al. ∙

∙ 02/17/2022

FLAME: Federated Learning Across Multi-device Environments

Federated Learning (FL) enables distributed training of machine learning...

0 Hyunsung Cho, et al. ∙

∙ 02/01/2022

ColloSSL: Collaborative Self-Supervised Learning for Human Activity Recognition

A major bottleneck in training robust Human-Activity Recognition models ...

0 Yash Jain, et al. ∙

∙ 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...

0 Wiebke Toussaint, et al. ∙

∙ 12/26/2021

FRuDA: Framework for Distributed Adversarial Domain Adaptation

Breakthroughs in unsupervised domain adaptation (uDA) can help in adapti...

0 Shaoduo Gan, et al. ∙

∙ 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...

0 Chulhong Min, et al. ∙

∙ 04/07/2021

On-device Federated Learning with Flower

Federated Learning (FL) allows edge devices to collaboratively learn a s...

18 Akhil Mathur, et al. ∙

∙ 01/27/2021

Low-Power Audio Keyword Spotting using Tsetlin Machines

The emergence of Artificial Intelligence (AI) driven Keyword Spotting (K...

0 Jie Lei, et al. ∙

∙ 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...

0 Chulhong Min, et al. ∙

∙ 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...

4 Chongyang Wang, et al. ∙

∙ 10/13/2020

A first look into the carbon footprint of federated learning

Despite impressive results, deep learning-based technologies also raise ...

4 Xinchi Qiu, et al. ∙

∙ 09/06/2020

Libri-Adapt: A New Speech Dataset for Unsupervised Domain Adaptation

This paper introduces a new dataset, Libri-Adapt, to support unsupervise...

0 Akhil Mathur, et al. ∙

∙ 07/28/2020

Flower: A Friendly Federated Learning Research Framework

Federated Learning (FL) has emerged as a promising technique for edge de...

172 Daniel J. Beutel, et al. ∙

∙ 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...

0 Akhil Mathur, et al. ∙

∙ 02/24/2019

Automatic Detection of Protective Behavior in Chronic Pain Physical Rehabilitation: A Recurrent Neural Network Approach

In chronic pain physical rehabilitation, physiotherapists adapt movement...

0 Chongyang Wang, et al. ∙

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