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ORCIDAlireza Danaee
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2020 – today
- 2024
[j3]Shayan Hassanpour
, Alireza Danaee, Dirk Wübben, Armin Dekorsy:
Multi-Source Distributed Data CompressionBased on Information Bottleneck Principle. IEEE Open J. Commun. Soc. 5: 4171-4185 (2024)- 2023
- [c5]Alireza Danaee, Shayan Hassanpour, Dirk Wübben, Armin Dekorsy:
Relevance-Based Information Processing for Fronthaul Rate Reduction in Cell-Free MIMO Systems. ISWCS 2023: 1-6 - [c4]Alireza Danaee, Rodrigo C. de Lamare, Vítor Heloiz Nascimento:
Performance Analysis of Distributed Quantization Aware LMS Algorithm with Quantized Measurements. ISWCS 2023: 1-6 - 2022
- [j2]Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento:
Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals. IEEE Trans. Signal Process. 70: 3441-3455 (2022) - [c3]Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento:
Quantization-Aware Federated Learning with Coarsely Quantized Measurements. EUSIPCO 2022: 1691-1695 - 2021
- [j1]Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento:
Energy-Efficient Distributed Learning With Coarsely Quantized Signals. IEEE Signal Process. Lett. 28: 329-333 (2021) - [c2]Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento:
Energy-Efficient Distributed Learning with Adaptive Bias Compensation for Coarsely Quantized Signals. SSP 2021: 61-65 - [i2]Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento:
Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals. CoRR abs/2101.04824 (2021) - 2020
- [c1]Alireza Danaee, Rodrigo C. de Lamare, Vítor H. Nascimento:
Energy-Efficient Distributed Recursive Least Squares Learning with Coarsely Quantized Signals. ACSSC 2020: 1533-1537 - [i1]Alireza Danaee, Rodrigo C. de Lamare, Victor H. Nascimento:
Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals. CoRR abs/2012.10939 (2020)
Coauthor Index
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