Diffusion LMS over multitask networks with noisy links

Diffusion LMS is an efficient strategy for solving distributed optimization problems with cooperating agents. In some applications, the optimum parameter vectors may not be the same for all agents. Moreover, agents usually exchange information through noisy communication links. In this work, we analyze the theoretical performance of the single-task diffusion LMS when it is run, intentionally or unintentionally, in a multitask environment in the presence of noisy links. To reduce the impact of these nuisance factors, we introduce an improved strategy that allows the agents to promote or reduce exchanges of information with their neighbors.


Published in:
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4583-4587
Presented at:
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, March 20-25, 2016
Year:
2016
Publisher:
IEEE
Laboratories:




 Record created 2017-12-19, last modified 2018-03-17


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