An Adaptive Sampling Technique for Graph Diffusion LMS Algorithm. - Daniel G. Tiglea; Renato Candido; Magno T. M. Silva (EUSIPCO, 2019)

A Sampling Algorithm for Diffusion Networks. - Daniel G. Tiglea; Renato Candido; Magno T. M. Silva (EUSIPCO, 2020)

A Low-Cost Algorithm for Adaptive Sampling and Censoring in Diffusion Networks. - Daniel G. Tiglea; Renato Candido; Magno T. M. Silva (IEEE Trans. Signal Process., 2021)

An adaptive algorithm for sampling over diffusion networks with dynamic parameter tuning and change detection mechanisms. - Daniel G. Tiglea; Renato Candido; Magno T. M. Silva (Digit. Signal Process., 2022)

A Variable Step Size Adaptive Algorithm With Simple Parameter Selection. - Daniel G. Tiglea; Renato Candido; Magno T. M. Silva (IEEE Signal Process. Lett., 2022)

Reducing the Communication and Computational Cost of Random Fourier Features Kernel LMS in Diffusion Networks. - Daniel G. Tiglea; Renato Candido; Luis Antonio Azpicueta-Ruiz; Magno T. M. Silva (ICASSP, 2023)

Can Adaptive Diffusion Networks Do Better with Less Data? - Daniel G. Tiglea; Renato Candido; Magno T. M. Silva (ISWCS, 2023)

Adaptive diffusion networks: An overview. - Daniel G. Tiglea; Renato Candido; Magno T. M. Silva (Signal Process., 2024)

On the Impact of Random Node Sampling on Adaptive Diffusion Networks. - Daniel G. Tiglea; Renato Candido; Magno T. M. Silva (IEEE Trans. Signal Process., 2024)

Bias-Variance Decomposition of the Mean-Square Deviation of the LMS Algorithm: Transient and Steady-State Analysis. - Daniel G. Tiglea; Renato Candido; Magno T. M. Silva (Circuits Syst. Signal Process., 2025)