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Blind Federated Edge Learning

Oct 19, 2020
Mohammad Mohammadi Amiri, Tolga M. Duman, Deniz Gunduz, Sanjeev R. Kulkarni, H. Vincent Poor

* submitted for publication. arXiv admin note: text overlap with arXiv:1907.03909 

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Coded Stochastic ADMM for Decentralized Consensus Optimization with Edge Computing

Oct 02, 2020
Hao Chen, Yu Ye, Ming Xiao, Mikael Skoglund, H. Vincent Poor


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Towards Self-learning Edge Intelligence in 6G

Oct 01, 2020
Yong Xiao, Guangming Shi, Yingyu Li, Walid Saad, H. Vincent Poor

* To be published at IEEE Communications Magazine, vol. 58, no. 12, December 2020 

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Learning Mixtures of Low-Rank Models

Sep 23, 2020
Yanxi Chen, Cong Ma, H. Vincent Poor, Yuxin Chen


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A Tutorial of Ultra-Reliable and Low-Latency Communications in 6G: Integrating Theoretical Knowledge into Deep Learning

Sep 13, 2020
Changyang She, Chengjian Sun, Zhouyou Gu, Yonghui Li, Chenyang Yang, H. Vincent Poor, Branka Vucetic

* This work has been submitted to Proceedings of the IEEE (in the second round of review) 

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Convergence of Federated Learning over a Noisy Downlink

Aug 25, 2020
Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni, H. Vincent Poor

* submitted for publication 

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Fast-Convergent Federated Learning

Jul 26, 2020
Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor


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Learning Centric Power Allocation for Edge Intelligence

Jul 21, 2020
Shuai Wang, Rui Wang, Qi Hao, Yik-Chung Wu, H. Vincent Poor

* 6 pages, 7 figures, in Proc. IEEE ICC 2020, Wireless Communications Symposium, Jun. 2020. arXiv admin note: substantial text overlap with arXiv:1911.04922 

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A Machine Learning Approach for Task and Resource Allocation in Mobile Edge Computing Based Networks

Jul 20, 2020
Sihua Wang, Mingzhe Chen, Xuanlin Liu, Changchuan Yin, Shuguang Cui, H. Vincent Poor

* This paper has been accepted by IEEE Internet of Things 

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Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization

Jul 15, 2020
Jianyu Wang, Qinghua Liu, Hao Liang, Gauri Joshi, H. Vincent Poor


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Delay Minimization for Federated Learning Over Wireless Communication Networks

Jul 05, 2020
Zhaohui Yang, Mingzhe Chen, Walid Saad, Choong Seon Hong, Mohammad Shikh-Bahaei, H. Vincent Poor, Shuguang Cui

* arXiv admin note: substantial text overlap with arXiv:1911.02417 

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RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network

Jul 04, 2020
Chuan Ma, Jun Li, Ming Ding, Bo Liu, Kang Wei, Jian Weng, H. Vincent Poor


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Federated Learning With Quantized Global Model Updates

Jun 18, 2020
Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni, H. Vincent Poor


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Enhanced First and Zeroth Order Variance Reduced Algorithms for Min-Max Optimization

Jun 17, 2020
Tengyu Xu, Zhe Wang, Yingbin Liang, H. Vincent Poor

* 43 pages, 6 figures 

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Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters

Jun 16, 2020
Kaiyi Ji, Jason D. Lee, Yingbin Liang, H. Vincent Poor

* 28 pages, 8 figures, 2 tables 

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Uncertainty quantification for nonconvex tensor completion: Confidence intervals, heteroscedasticity and optimality

Jun 15, 2020
Changxiao Cai, H. Vincent Poor, Yuxin Chen

* Accepted in part to ICML 2020 

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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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Wireless Communications for Collaborative Federated Learning in the Internet of Things

Jun 03, 2020
Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui


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Meta-Reinforcement Learning for Trajectory Design in Wireless UAV Networks

May 25, 2020
Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui

* 6 pages, Fig.4 

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Nonparametric Estimation of the Fisher Information and Its Applications

May 07, 2020
Wei Cao, Alex Dytso, Michael Fauß, H. Vincent Poor, Gang Feng


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Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning

May 05, 2020
Semih Yagli, Alex Dytso, H. Vincent Poor

* Accepted for publication in Proceedings of 21st IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020. arXiv version is 10pt font, 6 Pages. This is the same document as the SPAWC version, except that the conference version is written with 9pt font to meet the strict page margin requirements 

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The Vector Poisson Channel: On the Linearity of the Conditional Mean Estimator

Mar 19, 2020
Alex Dytso, Michael Fauss, H. Vincent Poor


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Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks

Mar 19, 2020
Sihua Wang, Mingzhe Chen, Changchuan Yin, Walid Saad, Choong Seon Hong, Shuguang Cui, H. Vincent Poor


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Malicious Experts versus the multiplicative weights algorithm in online prediction

Mar 18, 2020
Erhan Bayraktar, H. Vincent Poor, Xin Zhang

* Keywords: Adversarial online learning, multiplicative weights algorithm, dynamic programming, partial differential equation approach, viscosity solutions 

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Gradient Estimation for Federated Learning over Massive MIMO Communication Systems

Mar 18, 2020
Yo-Seb Jeon, Mohammad Mohammadi Amiri, Jun Li, H. Vincent Poor


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Performance Analysis and Optimization in Privacy-Preserving Federated Learning

Feb 29, 2020
Kang Wei, Jun Li, Ming Ding, Chuan Ma, Hang Su, Bo Zhang, H. Vincent Poor


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Update Aware Device Scheduling for Federated Learning at the Wireless Edge

Jan 28, 2020
Mohammad Mohammadi Amiri, Deniz Gunduz, Sanjeev R. Kulkarni, H. Vincent Poor


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RIS Enhanced Massive Non-orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design

Jan 28, 2020
Xiao Liu, Yuanwei Liu, Yue Chen, H. Vincent Poor


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Convergence Time Optimization for Federated Learning over Wireless Networks

Jan 22, 2020
Mingzhe Chen, H. Vincent Poor, Walid Saad, Shuguang Cui


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Adversarial Policies in Learning Systems with Malicious Experts

Jan 02, 2020
S. Rasoul Etesami, Negar Kiyavash, H. Vincent Poor


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