Federated Learning With Quantized Global Model Updates

18 June 2020

Deniz Gunduz

Papers citing "Federated Learning With Quantized Global Model Updates"

23 / 23 papers shown

Title
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching Qifan Yan Andrew Liu Shiqi He Mathias Lécuyer Ivan Beschastnikh FedML 36 0 0 21 Apr 2025
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing Ming-Lun Lee Han-Chang Chou Yan-AnnChen FedML 36 6 0 07 Apr 2025
Sparsity-Aware Distributed Learning for Gaussian Processes with Linear Multiple Kernel Richard Cornelius Suwandi Zhidi Lin Feng Yin Zhiguo Wang Sergios Theodoridis GP 67 1 0 17 Jan 2025
Asynchronous Federated Learning with Bidirectional Quantized Communications and Buffered Aggregation Tomàs Ortega Hamid Jafarkhani FedML 28 6 0 01 Aug 2023
FedAgg: Adaptive Federated Learning with Aggregated Gradients Wenhao Yuan Xuehe Wang FedML 48 0 0 28 Mar 2023
A-LAQ: Adaptive Lazily Aggregated Quantized Gradient Afsaneh Mahmoudi José Hélio da Cruz Júnior H. S. Ghadikolaei Carlo Fischione 34 7 0 31 Oct 2022
Random Orthogonalization for Federated Learning in Massive MIMO Systems Xizixiang Wei Cong Shen Jing Yang H. Vincent Poor 52 14 0 18 Oct 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 54 59 0 02 Aug 2022
Encoded Gradients Aggregation against Gradient Leakage in Federated Learning Dun Zeng Shiyu Liu Siqi Liang Zonghang Li Hongya Wang Irwin King Zenglin Xu FedML 19 0 0 26 May 2022
Personalized Federated Learning with Server-Side Information Jaehun Song Min Hwan Oh Hyung-Sin Kim FedML 35 8 0 23 May 2022
A review of Federated Learning in Intrusion Detection Systems for IoT Aitor Belenguer J. Navaridas J. A. Pascual 25 15 0 26 Apr 2022
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 109 54 0 31 Oct 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 40 74 0 23 Jul 2021
Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations F. Lin Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi FedML 35 109 0 18 Mar 2021
Learned Gradient Compression for Distributed Deep Learning L. Abrahamyan Yiming Chen Giannis Bekoulis Nikos Deligiannis 32 45 0 16 Mar 2021
FjORD: Fair and Accurate Federated Learning under heterogeneous targets with Ordered Dropout Samuel Horváth Stefanos Laskaridis Mario Almeida Ilias Leondiadis Stylianos I. Venieris Nicholas D. Lane 189 268 0 26 Feb 2021
Time-Correlated Sparsification for Communication-Efficient Federated Learning Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 38 47 0 21 Jan 2021
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 39 140 0 07 Dec 2020
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 78 92 0 19 Oct 2020
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 92 170 0 28 Jan 2020
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 16 131 0 06 Oct 2019
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,687 0 14 Apr 2018