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
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
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