Decentralized federated meta‐learning framework for few‐shot multitask learning
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22951
Abstract: Federated learning is increasingly attractive, however as the number of training samples on a single device is too small and the training tasks of the devices are different, it faces the few‐shot multitask learning problem.… read more here.
Keywords: multitask; shot multitask; decentralized federated; multitask learning ... See more keywords
Bayesian multitask learning regression for heterogeneous patient cohorts
Sign Up to like & getrecommendations! Published in 2019 at "Journal of biomedical informatics"
DOI: 10.1016/j.yjbinx.2019.100059
Abstract: Multitask learning (MTL) leverages commonalities across related tasks with the aim of improving individual task performance. A key modeling choice in designing MTL models is the structure of the tasks' relatedness, which may not be… read more here.
Keywords: learning regression; multitask learning; task; bayesian multitask ... See more keywords
Prediction of Combined Sorbent and Catalyst Materials for SE-SMR, Using QSPR and Multitask Learning
Sign Up to like & getrecommendations! Published in 2022 at "Industrial & Engineering Chemistry Research"
DOI: 10.1021/acs.iecr.2c00971
Abstract: The process of sorption enhanced steam methane reforming (SE-SMR) is an emerging technology for the production of low carbon hydrogen. The development of a suitable catalytic material, as well as a CO2 adsorbent with high… read more here.
Keywords: sorbent catalyst; qspr; multitask learning; combined sorbent ... See more keywords
iCYP-MFE: Identifying Human Cytochrome P450 Inhibitors Using Multitask Learning and Molecular Fingerprint-Embedded Encoding.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.1c00628
Abstract: The human cytochrome P450 (CYP) superfamily holds responsibilities for the metabolism of both endogenous and exogenous compounds such as drugs, cellular metabolites, and toxins. The inhibition exerted on the CYP enzymes is closely associated with… read more here.
Keywords: human cytochrome; multitask learning; icyp mfe; using multitask ... See more keywords
A Multitask Learning Framework for Multi-Property Detection of Wine
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2937599
Abstract: The electronic nose (E-nose) is a bionic olfactory system and a powerful tool in many fields. Sample classification and parameter prediction are the core functions of the E-nose. We present two algorithms for simultaneous recognition… read more here.
Keywords: learning framework; multi property; property detection; multitask learning ... See more keywords
Speech Emotion and Naturalness Recognitions With Multitask and Single-Task Learnings
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3189481
Abstract: This paper evaluates speech emotion and naturalness recognitions by utilizing deep learning models with multitask learning and single-task learning approaches. The emotion model accommodates valence, arousal, and dominance attributes known as dimensional emotion. The naturalness… read more here.
Keywords: dimensional emotion; multitask learning; emotion; task ... See more keywords
Mood Prediction Based on Calendar Events Using Multitask Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3193778
Abstract: Predicting future moods with machine learning can help plan appropriate strategies for mental health; this can be facilitated by collecting future event information from calendar applications. However, a model for mood prediction from calendar event… read more here.
Keywords: mood prediction; calendar; multitask learning; prediction ... See more keywords
AFL: An Adaptively Federated Multitask Learning for Model Sharing in Industrial IoT
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3125989
Abstract: In the Industrial Internet of Things (IIoT), model and computing power sharing among devices can improve resource utilization and work efficiency. However, data privacy and security issues hinder the sharing process. Besides, in the process… read more here.
Keywords: multitask learning; model; model sharing; adaptively federated ... See more keywords
Communication-Efficient Federated Multitask Learning Over Wireless Networks
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3201310
Abstract: This article investigates the scheduling framework of the federated multitask learning (FMTL) problem with a hard-cooperation structure over wireless networks, in which the scheduling becomes more challenging due to the different convergence behaviors of different… read more here.
Keywords: wireless networks; communication efficient; communication; multitask learning ... See more keywords
Hardware Impairment Estimation in NB-IoT: A Parallel Multitask Learning Method
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3228292
Abstract: Orthogonal frequency-division multiplexing (OFDM) is widely adopted in narrowband Internet of Things (NB-IoT). Nevertheless, the OFDM system is highly sensitive to the impairments caused by imperfect radio-frequency hardwares, which may greatly jeopardize the orthogonality between… read more here.
Keywords: hardware impairment; parallel multitask; hardware; impairment estimation ... See more keywords
Clustered Federated Multitask Learning on Non-IID Data With Enhanced Privacy
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3228893
Abstract: Federated learning is a machine learning prgadigm that enables the collaborative learning among clients while keeping the privacy of clients’ data. Federated multitask learning (FMTL) deals with the statistic challenge of non-independent and identically distributed… read more here.
Keywords: non iid; multitask learning; iid data; privacy ... See more keywords