Phase-aware LSTM projections for learning from heterogeneous electroencephalogram montages
Sign Up to like & getrecommendations! Published in 2025 at "Physica Scripta"
DOI: 10.1088/1402-4896/ae229d
Abstract: The growing interest in consumer-grade Brain-Computer Interfaces (BCIs) drives the demand for robust classification methods for sparse electroencephalogram (EEG) montages. However, extreme dimensionality differences limit generalization and severely impede transfer learning from high-density models. This… read more here.
Keywords: lstm projections; phase aware; aware lstm; learning heterogeneous ... See more keywords
CapsuleBD: A Backdoor Attack Method Against Federated Learning Under Heterogeneous Models
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Information Forensics and Security"
DOI: 10.1109/tifs.2025.3556346
Abstract: Federated learning under heterogeneous models, as an innovative approach, aims to break through the constraints of vanilla federated learning on the consistency of model architectures to better accommodate the heterogeneity of data distributions and hardware… read more here.
Keywords: backdoor attack; learning heterogeneous; model; federated learning ... See more keywords
Clustered Federated Learning in Heterogeneous Environment.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2023.3264740
Abstract: Federated learning (FL) is a distributed machine learning framework that allows resource-constrained clients to train a global model jointly without compromising data privacy. Although FL is widely adopted, high degrees of systems and statistical heterogeneity… read more here.
Keywords: heterogeneity; clustered federated; federated learning; statistical heterogeneity ... See more keywords
OmniLearn: A Framework for Distributed Deep Learning Over Heterogeneous Clusters
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Parallel and Distributed Systems"
DOI: 10.1109/tpds.2025.3553066
Abstract: Deep learning systems are optimized for clusters with homogeneous resources. However, heterogeneity is prevalent in computing infrastructure across edge, cloud and HPC. When training neural networks using stochastic gradient descent techniques on heterogeneous resources, performance… read more here.
Keywords: deep learning; framework; omnilearn framework; framework distributed ... See more keywords
Over-the-Air Federated Learning From Heterogeneous Data
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3090323
Abstract: We focus on over-the-air (OTA) Federated Learning (FL), which has been suggested recently to reduce the communication overhead of FL due to the repeated transmissions of the model updates by a large number of users… read more here.
Keywords: cotaf; federated learning; convergence; air federated ... See more keywords
Robust Federated Learning for Heterogeneous Model and Data
Sign Up to like & getrecommendations! Published in 2024 at "International journal of neural systems"
DOI: 10.1142/s0129065724500199
Abstract: Data privacy and security is an essential challenge in medical clinical settings, where individual hospital has its own sensitive patients data. Due to recent advances in decentralized machine learning in Federated Learning (FL), each hospital… read more here.
Keywords: robust federated; model data; learning heterogeneous; model ... See more keywords
Towards machine learning for heterogeneous inverse scattering in 3D microscopy.
Sign Up to like & getrecommendations! Published in 2022 at "Optics express"
DOI: 10.1364/oe.447075
Abstract: Light propagating through a nonuniform medium scatters as it interacts with particles with different refractive properties such as cells in the tissue. In this work we aim to utilize this scattering process to learn a… read more here.
Keywords: heterogeneous inverse; microscopy; machine learning; learning heterogeneous ... See more keywords