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Over-the-Air Federated Learning from Heterogeneous Data

Oct 02, 2020
Tomer Sery, Nir Shlezinger, Kobi Cohen, Yonina C. Eldar

* 15 pages, 8 figures. Part of the results were accepted to be presented in the 2020 IEEE Global Communications Conference (GLOBECOM) 

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UVeQFed: Universal Vector Quantization for Federated Learning

Jun 05, 2020
Nir Shlezinger, Mingzhe Chen, Yonina C. Eldar, H. Vincent Poor, Shuguang Cui


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Inference from Stationary Time Sequences via Learned Factor Graphs

Jun 05, 2020
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith


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Data-Driven Symbol Detection via Model-Based Machine Learning

Feb 14, 2020
Nariman Farsad, Nir Shlezinger, Andrea J. Goldsmith, Yonina C. Eldar

* arXiv admin note: text overlap with arXiv:1905.10750 

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DeepSIC: Deep Soft Interference Cancellation for Multiuser MIMO Detection

Feb 08, 2020
Nir Shlezinger, Rong Fu, Yonina C. Eldar


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Data-Driven Factor Graphs for Deep Symbol Detection

Jan 31, 2020
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith


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Deep Task-Based Quantization

Aug 01, 2019
Nir Shlezinger, Yonina C. Eldar


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Deep Neural Network Symbol Detection for Millimeter Wave Communications

Jul 25, 2019
Yun Liao, Nariman Farsad, Nir Shlezinger, Yonina C. Eldar, Andrea J. Goldsmith


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ViterbiNet: A Deep Learning Based Viterbi Algorithm for Symbol Detection

May 26, 2019
Nir Shlezinger, Nariman Farsad, Yonina C. Eldar, Andrea J. Goldsmith


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