Energy-Aware Analog Aggregation for Federated Learning with Redundant Data

1 November 2019

Deniz Gündüz

Papers citing "Energy-Aware Analog Aggregation for Federated Learning with Redundant Data"

32 / 32 papers shown

Title
Energy Minimization for Participatory Federated Learning in IoT Analyzed via Game TheoryDigital Signal Processing and Signal Processing Education Workshop (SPSPE), 2024 Alessandro Buratto Elia Guerra M. Miozzo Paolo Dini Leonardo Badia 192 4 0 27 Mar 2025
Privacy Protection in Prosumer Energy Management Based on Federated LearningIEEE Access (IEEE Access), 2025 Yunfeng Li Xiaolin Li Zhitao Li Gangqiang Li FedML 206 4 0 09 Mar 2025
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach Chung-Hsuan Hu Zheng Chen Erik G. Larsson 160 7 0 20 May 2024
A Synthesis of Green Architectural Tactics for ML-Enabled Systems Heli Järvenpää Patricia Lago Justus Bogner Grace A. Lewis H. Muccini Ipek Ozkaya 137 32 0 15 Dec 2023
Over-the-Air Federated Learning and Optimization Jingyang Zhu Yuanming Shi Yong Zhou Chunxiao Jiang Wei Chen Khaled B. Letaief FedML 361 21 0 16 Oct 2023
Arena: A Learning-based Synchronization Scheme for Hierarchical Federated Learning--Technical Report Tianyu Qi Yufeng Zhan Peng Li Jingcai Guo Yuanqing Xia FedML 148 14 0 20 Aug 2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data Chung-Hsuan Hu Zheng Chen Erik G. Larsson 214 6 0 02 May 2023
A Systematic Review of Green AI Roberto Verdecchia June Sallou Luís Cruz 358 230 0 26 Jan 2023
Federated Learning for Energy Constrained IoT devices: A systematic mapping studyCluster Computing (CC), 2022 Rachid El Mokadem Yann Ben Maissa Zineb El Akkaoui 142 9 0 09 Jan 2023
Over-The-Air Federated Learning Over Scalable Cell-free Massive MIMOIEEE Transactions on Wireless Communications (TWC), 2022 Houssem Sifaou Geoffrey Ye Li 247 17 0 13 Dec 2022
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 225 27 0 18 Oct 2021
Fundamental limits of over-the-air optimization: Are analog schemes optimal? Shubham K. Jha Prathamesh Mayekar Himanshu Tyagi 135 10 0 11 Sep 2021
Accelerated Gradient Descent Learning over Multiple Access Fading ChannelsIEEE Journal on Selected Areas in Communications (JSAC), 2021 Raz Paul Yuval Friedman Kobi Cohen 217 34 0 26 Jul 2021
Federated Learning with Downlink Device SelectionInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021 M. Amiri Sanjeev R. Kulkarni H. Vincent Poor FedML 216 11 0 07 Jul 2021
Joint Client Scheduling and Resource Allocation under Channel Uncertainty in Federated LearningIEEE Transactions on Communications (IEEE Trans. Commun.), 2021 Madhusanka Manimel Wadu S. Samarakoon M. Bennis 113 57 0 12 Jun 2021
Dynamic Scheduling for Over-the-Air Federated Edge Learning with Energy ConstraintsIEEE Journal on Selected Areas in Communications (JSAC), 2021 Yuxuan Sun Sheng Zhou Z. Niu Deniz Gündüz 289 115 0 31 May 2021
Joint Optimization of Communications and Federated Learning Over the AirIEEE Transactions on Wireless Communications (IEEE TWC), 2021 Xin-Yue Fan Yue Wang Yan Huo Z. Tian FedML 168 65 0 08 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future ChallengesIEEE Journal on Selected Areas in Communications (JSAC), 2021 Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 197 478 0 05 Apr 2021
1-Bit Compressive Sensing for Efficient Federated Learning Over the AirIEEE Transactions on Wireless Communications (IEEE TWC), 2021 Xin-Yue Fan Yue Wang Yan Huo Z. Tian FedML 162 47 0 30 Mar 2021
Federated Edge Learning with Misaligned Over-The-Air ComputationInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2021 Yulin Shao Deniz Gunduz Soung Chang Liew FedML 182 92 0 26 Feb 2021
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power TransferIEEE Transactions on Wireless Communications (IEEE TWC), 2021 Qunsong Zeng Yuqing Du Kaibin Huang 223 42 0 24 Feb 2021
Energy-Harvesting Distributed Machine LearningInternational Symposium on Information Theory (ISIT), 2021 Başak Güler Aylin Yener FedML 98 17 0 10 Feb 2021
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples Xizixiang Wei Cong Shen FedML 330 15 0 06 Jan 2021
Stochastic Client Selection for Federated Learning with Volatile ClientsIEEE Internet of Things Journal (IEEE IoT J.), 2020 Tiansheng Huang Weiwei Lin Li Shen Keqin Li Albert Y. Zomaya FedML 342 117 0 17 Nov 2020
Blind Federated Edge LearningIEEE Transactions on Wireless Communications (TWC), 2020 M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 231 97 0 19 Oct 2020
Wireless for Machine Learning Henrik Hellström J. M. B. D. Silva Mohammad Mohammadi Amiri Mingzhe Chen Viktoria Fodor H. Vincent Poor Carlo Fischione 257 18 0 31 Aug 2020
Convergence of Federated Learning over a Noisy DownlinkIEEE Transactions on Wireless Communications (TWC), 2020 M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor FedML 242 81 0 25 Aug 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 587 88 0 22 Jul 2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated LearningIEEE Transactions on Wireless Communications (TWC), 2020 Wenqi Shi Sheng Zhou Z. Niu Miao Jiang Lu Geng 125 327 0 14 Jul 2020
Communication Efficient Federated Learning over Multiple Access Channels Wei-Ting Chang Ravi Tandon FedML 132 44 0 23 Jan 2020
Energy Efficient Federated Learning Over Wireless Communication NetworksIEEE Transactions on Wireless Communications (TWC), 2019 Zhaohui Yang Mingzhe Chen Walid Saad Choong Seon Hong M. Shikh-Bahaei 289 744 0 06 Nov 2019
On Analog Gradient Descent Learning over Multiple Access Fading ChannelsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019 Tomer Sery Kobi Cohen 162 170 0 20 Aug 2019