3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.IT2026
DeepOFW: Deep Learning-Driven OFDM-Flexible Waveform Modulation for Peak-to-Average Power Ratio Reduction
Ran Greidi, Kobi Cohen
Peak-to-average power ratio (PAPR) remains a major limitation of multicarrier modulation schemes such as orthogonal frequency-division multiplexing (OFDM), reducing power amplifier…
cs.LG2023★ 3 cited
Sparse Training for Federated Learning with Regularized Error Correction
Ran Greidi, Kobi Cohen
Federated Learning (FL) has attracted much interest due to the significant advantages it brings to training deep neural network (DNN) models. However, since communications and comp…