| Net-trim: Convex pruning of deep neural networks with performance guarantee A Aghasi, A Abdi, N Nguyen, J Romberg Advances in Neural Information Processing Systems, 3177-3186, 2017 | 228 | 2017 |
| Joint source-channel coding over additive noise analog channels using mixture of variational autoencoders YM Saidutta, A Abdi, F Fekri IEEE Journal on Selected Areas in Communications 39 (7), 2000-2013, 2021 | 43 | 2021 |
| Fast Convex Pruning of Deep Neural Networks A Aghasi, A Abdi, J Romberg SIAM Journal on the Mathematics of Data Science, 2020 | 39 | 2020 |
| Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning A Abdi, F Fekri AAAI Conference on Artificial Intelligence, 2020 | 32 | 2020 |
| Advances in seismic data compression via learning from data: Compression for seismic data acquisition A Payani, A Abdi, X Tian, F Fekri, M Mohandes IEEE Signal Processing Magazine 35 (2), 51-61, 2018 | 26 | 2018 |
| Analog compression and communication for federated learning over wireless MAC A Abdi, YM Saidutta, F Fekri 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 20 | 2020 |
| Reducing communication overhead via CEO in distributed training A Abdi, F Fekri 2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019 | 18 | 2019 |
| Nested dithered quantization for communication reduction in distributed training A Abdi, F Fekri arXiv preprint arXiv:1904.01197, 2019 | 17 | 2019 |
| VAE for joint source-channel coding of distributed Gaussian sources over AWGN MAC YM Saidutta, A Abdi, F Fekri 2020 IEEE 21st International Workshop on Signal Processing Advances in …, 2020 | 15 | 2020 |
| Joint Source-Channel Coding of Gaussian sources over AWGN channels via Manifold Variational Autoencoders YM Saidutta, A Abdi, F Fekri 57th Annual Allerton Conference on Communication, Control, and Computing …, 2019 | 14 | 2019 |
| Joint source-channel coding for gaussian sources over awgn channels using variational autoencoders YM Saidutta, A Abdi, F Fekri 2019 IEEE International Symposium on Information Theory (ISIT), 1327-1331, 2019 | 13 | 2019 |
| Learning dictionary for efficient signal compression A Abdi, A Payani, F Fekri 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 13 | 2017 |
| M to 1 joint source-channel coding of gaussian sources via dichotomy of the input space based on deep learning YM Saidutta, A Abdi, F Fekri 2019 Data Compression Conference (DCC), 488-497, 2019 | 11 | 2019 |
| Efficient distributed inference of deep neural networks via restructuring and pruning A Abdi, S Rashidi, F Fekri, T Krishna Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6640-6648, 2023 | 10* | 2023 |
| Deep sequential beamformer learning for multipath channels in mmwave communication systems A Sant, A Abdi, J Soriaga ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 8 | 2022 |
| Seismic signal compression through delay compensated and entropy constrained dictionary learning X Tian, A Abdi, E Liu, F Fekri 2018 IEEE 19th International Workshop on Signal Processing Advances in …, 2018 | 6 | 2018 |
| Compressive sensing with energy constraint H Zhang, A Abdi, F Fekri 2017 IEEE Information Theory Workshop (ITW), 389-393, 2017 | 6 | 2017 |
| Micro-RNA profile detection via factor graphs A Einolghozati, J Zou, A Abdi, F Fekri 2016 IEEE 17th International Workshop on Signal Processing Advances in …, 2016 | 6 | 2016 |
| Analog joint source-channel coding for distributed functional compression using deep neural networks YM Saidutta, A Abdi, F Fekri 2021 IEEE International Symposium on Information Theory (ISIT), 2429-2434, 2021 | 5 | 2021 |
| Indirect Stochastic Gradient Quantization and its Application in Distributed Deep Learning A Abdi, F Fekri AAAI Conference on Artificial Intelligence, 2020 | 5 | 2020 |
Faramarz FekriGeorgia TechVerified email at ece.gatech.edu