Energy-Efficient Distributed Recursive Least Squares Learning with Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (ACSSC, 2020)

Study of Energy-Efficient Distributed RLS-based Learning with Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Victor H. Nascimento (CoRR, 2020)

Energy-Efficient Distributed Learning with Adaptive Bias Compensation for Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (SSP, 2021)

Energy-Efficient Distributed Learning Algorithms for Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (CoRR, 2021)

Energy-Efficient Distributed Learning With Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (IEEE Signal Process. Lett., 2021)

Quantization-Aware Federated Learning with Coarsely Quantized Measurements. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (EUSIPCO, 2022)

Distributed Quantization-Aware RLS Learning With Bias Compensation and Coarsely Quantized Signals. - Alireza Danaee; Rodrigo C. de Lamare; Vítor H. Nascimento (IEEE Trans. Signal Process., 2022)

Relevance-Based Information Processing for Fronthaul Rate Reduction in Cell-Free MIMO Systems. - Alireza Danaee; Shayan Hassanpour; Dirk Wübben; Armin Dekorsy (ISWCS, 2023)

Performance Analysis of Distributed Quantization Aware LMS Algorithm with Quantized Measurements. - Alireza Danaee; Rodrigo C. de Lamare; Vítor Heloiz Nascimento (ISWCS, 2023)

Multi-Source Distributed Data CompressionBased on Information Bottleneck Principle. - Shayan Hassanpour; Alireza Danaee; Dirk Wübben; Armin Dekorsy (IEEE Open J. Commun. Soc., 2024)