Collaborative Machine Learning at the Wireless Edge with Blind
Transmitters

Collaborative Machine Learning at the Wireless Edge with Blind Transmitters

8 July 2019

Deniz Gunduz

Papers citing "Collaborative Machine Learning at the Wireless Edge with Blind Transmitters"

10 / 10 papers shown

Title
Over-the-Air Computation Based on Balanced Number Systems for Federated Edge Learning Alphan Șahin FedML 28 14 0 13 Oct 2022
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications Khaled B. Letaief Yuanming Shi Jianmin Lu Jianhua Lu 34 416 0 24 Nov 2021
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers Xin-Yue Fan Yue Wang Yan Huo Zhi Tian FedML 22 23 0 18 Oct 2021
Fundamental limits of over-the-air optimization: Are analog schemes optimal? Shubham K. Jha Prathamesh Mayekar Himanshu Tyagi 24 7 0 11 Sep 2021
Accelerated Gradient Descent Learning over Multiple Access Fading Channels Raz Paul Yuval Friedman Kobi Cohen 27 30 0 26 Jul 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 38 401 0 05 Apr 2021
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 76 92 0 19 Oct 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 22 9 0 18 Mar 2020
Communication Efficient Federated Learning over Multiple Access Channels Wei-Ting Chang Ravi Tandon FedML 8 44 0 23 Jan 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis Guangxu Zhu Yuqing Du Deniz Gunduz Kaibin Huang 36 308 0 16 Jan 2020