Sign Up to like & get
recommendations!
0
Published in 2017 at "Journal of Vascular Surgery"
DOI: 10.1016/j.jvs.2016.11.025
Abstract: Background: The benefit of catheter‐directed thrombolysis for peripheral arterial occlusions is limited by hemorrhagic complications. Plasma fibrinogen level (PFL) has been suggested as a predictor of these hemorrhagic complications, but the accurateness of prediction is…
read more here.
Keywords:
catheter directed;
complications catheter;
hemorrhagic complications;
directed thrombolysis ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2025.3569461
Abstract: Particle flow (PFl) is an effective method for overcoming particle degeneracy, the main limitation of particle filtering. In PFl, particles are migrated towards regions of high likelihood based on the solution of a partial differential…
read more here.
Keywords:
stochastic pfl;
differential equation;
pfl;
particle flow ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Transactions on Computers"
DOI: 10.1109/tc.2025.3547138
Abstract: Federated Learning (FL) is typically deployed in a client-server architecture, which makes the Edge-Cloud architecture an ideal backbone for FL. A significant challenge in this setup arises from the diverse data feature distributions across different edge…
read more here.
Keywords:
network segmentation;
segmentation;
pfl;
federated learning ... See more keywords
Sign Up to like & get
recommendations!
0
Published in 2025 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2024.3466227
Abstract: Personalized federated learning (pFL) is to collaboratively train non-identical machine learning models for different clients to adapt to their heterogeneously distributed datasets. State-of-the-art pFL approaches pay much attention on exploiting clients’ inter-similarities to facilitate the…
read more here.
Keywords:
knowledge;
purified knowledge;
pfl;
model ... See more keywords