Federated Learning via Over-the-Air Computation

31 December 2018

Papers citing "Federated Learning via Over-the-Air Computation"

50 / 107 papers shown

Title
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
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 38 31 0 14 Oct 2021
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices Dingzhu Wen Ki-Jun Jeon Kaibin Huang FedML 70 90 0 30 Sep 2021
Bayesian AirComp with Sign-Alignment Precoding for Wireless Federated Learning Chanhoo Park Seunghoon Lee Namyoon Lee 29 5 0 14 Sep 2021
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 57 72 0 12 Sep 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
Unit-Modulus Wireless Federated Learning Via Penalty Alternating Minimization Shuai Wang Dachuan Li Rui-cang Wang Qi Hao Yik-Chung Wu Derrick Wing Kwan Ng 31 1 0 31 Aug 2021
GIFAIR-FL: A Framework for Group and Individual Fairness in Federated Learning Xubo Yue Maher Nouiehed Raed Al Kontar FedML 27 37 0 05 Aug 2021
Federated Learning Versus Classical Machine Learning: A Convergence Comparison Muhammad Asad Ahmed Moustafa Takayuki Ito FedML 30 42 0 22 Jul 2021
MAFAT: Memory-Aware Fusing and Tiling of Neural Networks for Accelerated Edge Inference J. Farley A. Gerstlauer FedML 28 5 0 14 Jul 2021
Faithful Edge Federated Learning: Scalability and Privacy Meng Zhang Ermin Wei R. Berry FedML 26 44 0 30 Jun 2021
UAV-assisted Online Machine Learning over Multi-Tiered Networks: A Hierarchical Nested Personalized Federated Learning Approach Su Wang Seyyedali Hosseinalipour M. Gorlatova Christopher G. Brinton M. Chiang 38 36 0 29 Jun 2021
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning A. Albaseer M. Abdallah Ala I. Al-Fuqaha A. Erbad 31 35 0 20 Jun 2021
Over-the-Air Decentralized Federated Learning Yandong Shi Yong Zhou Yuanming Shi FedML 34 41 0 15 Jun 2021
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated Learning Madhusanka Manimel Wadu S. Samarakoon M. Bennis 18 51 0 12 Jun 2021
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation Yulin Shao Soung Chang Liew Deniz Gunduz 56 14 0 22 May 2021
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning Yusuke Koda Jihong Park M. Bennis Praneeth Vepakomma Ramesh Raskar 21 10 0 02 May 2021
Turning Channel Noise into an Accelerator for Over-the-Air Principal Component Analysis Zezhong Zhang Guangxu Zhu Rui-cang Wang Vincent K. N. Lau Kaibin Huang 33 31 0 20 Apr 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
Federated Learning: A Signal Processing Perspective Tomer Gafni Nir Shlezinger Kobi Cohen Yonina C. Eldar H. Vincent Poor FedML 34 128 0 31 Mar 2021
Threshold-Based Data Exclusion Approach for Energy-Efficient Federated Edge Learning A. Albaseer M. Abdallah Ala I. Al-Fuqaha A. Erbad 27 12 0 30 Mar 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations F. Lin Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi FedML 37 109 0 18 Mar 2021
Over-the-Air Statistical Estimation Chuan-Zheng Lee L. P. Barnes Ayfer Özgür 32 12 0 06 Mar 2021
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation Mohamed Seif Wei-Ting Chang Ravi Tandon FedML 23 45 0 02 Mar 2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer Qunsong Zeng Yuqing Du Kaibin Huang 37 35 0 24 Feb 2021
Data-Aware Device Scheduling for Federated Edge Learning Afaf Taik Zoubeir Mlika Soumaya Cherkaoui 17 38 0 18 Feb 2021
Vertical federated learning based on DFP and BFGS Wenjie Song Xuan Shen FedML 21 6 0 23 Jan 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 56 43 0 10 Jan 2021
Bayesian Federated Learning over Wireless Networks Seunghoon Lee Chanhoo Park Songnam Hong Yonina C. Eldar Namyoon Lee 31 23 0 31 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 47 111 0 02 Dec 2020
Fast Convergence Algorithm for Analog Federated Learning Shuhao Xia Jingyang Zhu Yuhan Yang Yong Zhou Yuanming Shi Wei Chen FedML 29 31 0 30 Oct 2020
Adaptive Federated Learning and Digital Twin for Industrial Internet of Things Wen Sun S. Lei Lu Wang Zhiqiang Liu Yan Zhang FedML AI4CE 32 197 0 25 Oct 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 78 92 0 19 Oct 2020
A Comprehensive Overview on 5G-and-Beyond Networks with UAVs: From Communications to Sensing and Intelligence Qingqing Wu Jie Xu Yong Zeng Derrick Wing Kwan Ng N. Al-Dhahir R. Schober A. L. Swindlehurst 40 352 0 19 Oct 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach T. Le N. H. Tran Y. Tun Minh N. H. Nguyen Shashi Raj Pandey Zhu Han Choong Seon Hong FedML 15 152 0 22 Sep 2020
Communication-Efficient and Distributed Learning Over Wireless Networks: Principles and Applications Jihong Park S. Samarakoon Anis Elgabli Joongheon Kim M. Bennis Seong-Lyun Kim Mérouane Debbah 34 161 0 06 Aug 2020
Delay Minimization for Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei H. Vincent Poor Shuguang Cui FedML 21 53 0 05 Jul 2020
Multi-Armed Bandit Based Client Scheduling for Federated Learning Wenchao Xia Tony Q.S. Quek Kun Guo Wanli Wen Howard H. Yang Hongbo Zhu FedML 55 218 0 05 Jul 2020
Communication Efficient Federated Learning with Energy Awareness over Wireless Networks Richeng Jin Xiaofan He H. Dai 36 25 0 15 Apr 2020
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface Kai Yang Yuanming Shi Yong Zhou Zhanpeng Yang Liqun Fu Wei Chen 27 142 0 13 Apr 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 30 9 0 18 Mar 2020
Joint Parameter-and-Bandwidth Allocation for Improving the Efficiency of Partitioned Edge Learning Dingzhu Wen M. Bennis Kaibin Huang 31 48 0 10 Mar 2020
Sparse Optimization for Green Edge AI Inference Xiangyu Yang Sheng Hua Yuanming Shi Hao Wang Jun Zhang Khaled B. Letaief 19 14 0 24 Feb 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 26 326 0 22 Feb 2020
Wireless Federated Learning with Local Differential Privacy Mohamed Seif Ravi Tandon Ming Li 84 171 0 12 Feb 2020
Communication Efficient Federated Learning over Multiple Access Channels Wei-Ting Chang Ravi Tandon FedML 21 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 39 308 0 16 Jan 2020
Energy Efficient Federated Learning Over Wireless Communication Networks Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 30 681 0 06 Nov 2019
Hierarchical Federated Learning Across Heterogeneous Cellular Networks Mehdi Salehi Heydar Abad Emre Ozfatura Deniz Gunduz Ozgur Ercetin FedML 30 309 0 05 Sep 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 74 605 0 02 Sep 2019