Personal information

statistical signal processing, machine learning, distributed optimization, wireless communications, adaptive filters, federated learning, multi-agent systems
Iran, Brazil

Biography

Alireza Danaee completed a degree in Electronic Engineering from the University of Kurdistan, Sanandaj, in 2008, a Master's degree in Electrical Engineering from Shahid Rajaee Teacher Training University, Tehran, in 2013, and a Ph.D. in Electrical Engineering, in the area of signal processing, automation and robotics from the Pontifical Catholic University of Rio de Janeiro (PUC-RIO) in 2022. He is currently a Post-Doctoral Researcher at the Department of Communications Engineering of the University of Bremen. His current research interests center around statistical signal processing, information theory, machine learning, and optimization with applications to adaptive filters, wireless communications, and distributed machine learning.

Activities

Works (10)

Multi-Source Distributed Data Compression Based on Information Bottleneck Principle

IEEE Open Journal of the Communications Society
2024 | Journal article
Contributors: Shayan Hassanpour; Alireza Danaee; Dirk Wübben; Armin Dekorsy
Source: check_circle
Crossref

Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals

IEEE Transactions on Signal Processing
2022 | Journal article
Contributors: Alireza Danaee; Rodrigo C. de Lamare; Vitor Heloiz Nascimento
Source: check_circle
Crossref

Quantization-Aware Federated Learning with Coarsely Quantized Measurements

2022 30th European Signal Processing Conference (EUSIPCO)
2022-08-29 | Conference paper
Contributors: Alireza Danaee; Rodrigo C. de Lamare; Vitor H. Nascimento
Source: Self-asserted source
Alireza Danaee

Energy-Efficient Distributed Learning with Coarsely Quantized Signals

IEEE Signal Processing Letters
2021 | Journal article
EID:

2-s2.0-85099602020

Part of ISSN: 15582361 10709908
Contributors: Danaee, A.; C. de Lamare, R.; Nascimento, V.H.
Source: Self-asserted source
Alireza Danaee via Scopus - Elsevier
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Preferred source (of 2)‎

Energy-Efficient Distributed Learning with Adaptive Bias Compensation for Coarsely Quantized Signals

2021 IEEE Statistical Signal Processing Workshop (SSP)
2021-07-11 | Conference paper
Source: Self-asserted source
Alireza Danaee

Energy-Efficient Distributed Recursive Least Squares Learning with Coarsely Quantized Signals

2020 54th Asilomar Conference on Signals, Systems, and Computers
2020-11-01 | Conference paper
Source: Self-asserted source
Alireza Danaee

Low computational complexity family of affine projection algorithms over adaptive distributed incremental networks

AEU - International Journal of Electronics and Communications
2014 | Journal article
EID:

2-s2.0-84891738368

Part of ISSN: 14348411 16180399
Contributors: Abadi, M.S.E.; Danaee, A.-R.
Source: Self-asserted source
Alireza Danaee via Scopus - Elsevier

Adaptive distributed incremental networks based on the selective partial update affine projection algorithm

2013 21st Iranian Conference on Electrical Engineering, ICEE 2013
2013 | Conference paper
EID:

2-s2.0-84886903898

Contributors: Danaee, A.-R.; Abadi, M.S.E.
Source: Self-asserted source
Alireza Danaee via Scopus - Elsevier

Performance analysis of selective partial update normalized least mean squares algorithm over an adaptive incremental network

Iranian Journal of Electrical and Computer Engineering
2012 | Journal article
EID:

2-s2.0-84882412648

Part of ISSN: 16820053
Contributors: Shams Esfand Abadi, M.; Danaee, A.R.; Seifouri, M.
Source: Self-asserted source
Alireza Danaee via Scopus - Elsevier

Selective partial update normalized least mean square algorithms for distributed estimation over an adaptive incremental network

ICEE 2012 - 20th Iranian Conference on Electrical Engineering
2012 | Conference paper
EID:

2-s2.0-84867366852

Contributors: Shams Esfand Abadi, M.; Danaee, A.-R.
Source: Self-asserted source
Alireza Danaee via Scopus - Elsevier

Peer review (1 review for 1 publication/grant)

Review activity for Journal of ambient intelligence & humanized computing (1)