Learning Over Multitask Graphs—Part II: Performance Analysis

Learning Over Multitask Graphs—Part II: Performance Analysis

Part I of this paper formulated a multitask optimization problem where agents in the network have individual objectives to meet, or individual parameter vectors to estimate, subject to a smoothness condition over the graph. A diffusion strategy was devised that responds to streaming data and employs...

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Bibliographic Details
Main Authors: Roula Nassif, Stefan Vlaski, Cedric Richard, Ali H. Sayed
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Multitask distributed inference
diffusion strategy
smoothness prior
graph Laplacian regularization
gradient noise
steady-state performance
Online Access:https://ieeexplore.ieee.org/document/9075192/

Internet

https://ieeexplore.ieee.org/document/9075192/

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