Fedsepsis: A federated multi-modal deep learning-based internet of medical things application for early detection of sepsis from electronic health records using …

MU Alam, R Rahmani - Sensors, 2023‏ - mdpi.com
The concept of the Internet of Medical Things brings a promising option to utilize various
electronic health records stored in different medical devices and servers to create practical …

Federated learning: A cutting-edge survey of the latest advancements and applications

A Akhtarshenas, MA Vahedifar, N Ayoobi… - arxiv preprint arxiv …, 2023‏ - arxiv.org
Robust machine learning (ML) models can be developed by leveraging large volumes of
data and distributing the computational tasks across numerous devices or servers …

Federated learning: A cutting-edge survey of the latest advancements and applications

A Akhtarshenas, MA Vahedifar, N Ayoobi… - Computer …, 2024‏ - Elsevier
Robust machine learning (ML) models can be developed by leveraging large volumes of
data and distributing the computational tasks across numerous devices or servers …

One Communication Round is All It Needs for Federated Fine-Tuning Foundation Models

Z Wang, B Tian, Y He, Z Shen, L Liu, A Li - arxiv preprint arxiv:2412.04650, 2024‏ - arxiv.org
The recent advancement of large foundation models (FMs) has increased the demand for
fine-tuning these models on large-scale and cross-domain datasets. To address this …

[PDF][PDF] FEDERATED BAYESIAN NEURAL NETWORKS FOR PASSIVE SONAR

JM Loomis, AC Barton - 2023‏ - apps.dtic.mil
Although federated learning and Bayesian neural networks have been researched, there
are few implementations of the federated learning of Bayesian networks. In this thesis, a …

Cloud-based fleet and asset management for edge computing of machine learning and artificial intelligence workloads

P Nair, PK Mishra, A Swaminathan… - US Patent …, 2024‏ - Google Patents
An apparatus can be configured to receive monitoring information associated with a
machine learning (ML) or artificial intelligence (AI) workload implemented by an edge …