Seguir
Afshin Abdi
Afshin Abdi
ML Researcher @ Qualcomm
E-mail confirmado em qti.qualcomm.com
Título
Citado por
Citado por
Ano
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
2022017
Fast Convex Pruning of Deep Neural Networks
A Aghasi, A Abdi, J Romberg
SIAM Journal on the Mathematics of Data Science, 2020
342020
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
272021
Quantized Compressive Sampling of Stochastic Gradients for Efficient Communication in Distributed Deep Learning
A Abdi, F Fekri
AAAI Conference on Artificial Intelligence, 2020
252020
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
232018
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
162020
Reducing communication overhead via CEO in distributed training
A Abdi, F Fekri
2019 IEEE 20th International Workshop on Signal Processing Advances in …, 2019
162019
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
122019
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
122019
Nested dithered quantization for communication reduction in distributed training
A Abdi, F Fekri
arXiv preprint arXiv:1904.01197, 2019
122019
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
112019
Learning dictionary for efficient signal compression
A Abdi, A Payani, F Fekri
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
112017
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
8*2023
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
82020
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
62018
Compressive sensing with energy constraint
H Zhang, A Abdi, F Fekri
2017 IEEE Information Theory Workshop (ITW), 389-393, 2017
62017
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
62016
Indirect Stochastic Gradient Quantization and its Application in Distributed Deep Learning
A Abdi, F Fekri
AAAI Conference on Artificial Intelligence, 2020
52020
Net-trim: A layer-wise convex pruning of deep neural networks
A Aghasi, A Abdi, N Nguyen, J Romberg
Advances in Neural Information Processing Systems (NIPS) pages, 3180-3189, 2017
52017
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
42022
O sistema não pode executar a operação agora. Tente novamente mais tarde.
Artigos 1–20