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On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks

Nov 17, 2021
Minsu Kim, Walid Saad, Mohammad Mozaffari, Merouane Debbah

* This paper is submitted to IEEE International Conference on Communications 2022 

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A Deep Reinforcement Learning Approach to Efficient Drone Mobility Support

May 11, 2020
Yun Chen, Xingqin Lin, Talha Ahmed Khan, Mohammad Mozaffari

* Under review 

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Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms

Feb 19, 2020
Tengchan Zeng, Omid Semiari, Mohammad Mozaffari, Mingzhe Chen, Walid Saad, Mehdi Bennis

* 8 pages, 4 figures 

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Efficient Drone Mobility Support Using Reinforcement Learning

Nov 21, 2019
Yun Chen, Xingqin Lin, Talha Khan, Mohammad Mozaffari

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Experienced Deep Reinforcement Learning with Generative Adversarial Networks (GANs) for Model-Free Ultra Reliable Low Latency Communication

Nov 01, 2019
Ali Taleb Zadeh Kasgari, Walid Saad, Mohammad Mozaffari, H. Vincent Poor

* 30 pages 

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