v1v2v3 (latest)

Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments

24 August 2022

Papers citing "Federated Learning via Decentralized Dataset Distillation in Resource-Constrained Edge Environments"

46 / 46 papers shown

Title
One-shot Federated Learning Methods: A Practical Guide Xiang Liu Zhenheng Tang Xia Li Yijun Song Sijie Ji Zemin Liu Bo Han Linshan Jiang Jialin Li FedML 152 1 0 13 Feb 2025
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 125 7 0 19 May 2024
Towards Efficient Deep Hashing Retrieval: Condensing Your Data via Feature-Embedding Matching Tao Feng Jie Zhang Peizheng Wang Zhijie Wang Shengyuan Pang DD 134 0 0 29 May 2023
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems Rui Song Runsheng Xu Andreas Festag Jiaqi Ma Alois Knoll FedML 90 25 0 04 Apr 2023
V2V4Real: A Real-world Large-scale Dataset for Vehicle-to-Vehicle Cooperative Perception Runsheng Xu Xin Xia Jinlong Li Hanzhao Li Shuo Zhang ... Xiaoyu Dong Rui Song Hongkai Yu Bolei Zhou Jiaqi Ma 119 161 0 14 Mar 2023
ResFed: Communication Efficient Federated Learning by Transmitting Deep Compressed Residuals Rui Song Liguo Zhou Lingjuan Lyu Andreas Festag Alois Knoll FedML 81 5 0 11 Dec 2022
Compressed Gastric Image Generation Based on Soft-Label Dataset Distillation for Medical Data Sharing Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 89 43 0 29 Sep 2022
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning Yuanhao Xiong Ruochen Wang Minhao Cheng Felix X. Yu Cho-Jui Hsieh FedML DD 79 85 0 20 Jul 2022
Privacy for Free: How does Dataset Condensation Help Privacy? Tian Dong Bo Zhao Lingjuan Lyu DD 99 117 0 01 Jun 2022
Federated Learning Framework Coping with Hierarchical Heterogeneity in Cooperative ITS Rui Song Liguo Zhou Venkatnarayanan Lakshminarasimhan Andreas Festag Alois Knoll 85 24 0 01 Apr 2022
Dataset Distillation by Matching Training Trajectories George Cazenavette Tongzhou Wang Antonio Torralba Alexei A. Efros Jun-Yan Zhu FedML DD 185 395 0 22 Mar 2022
V2X-ViT: Vehicle-to-Everything Cooperative Perception with Vision Transformer Runsheng Xu Hao Xiang Zhengzhong Tu Xin Xia Ming-Hsuan Yang Jiaqi Ma ViT 207 381 0 20 Mar 2022
D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning and Visual Grounding Dave Zhenyu Chen Qirui Wu Matthias Nießner Angel X. Chang 69 32 0 02 Dec 2021
OPV2V: An Open Benchmark Dataset and Fusion Pipeline for Perception with Vehicle-to-Vehicle Communication Runsheng Xu Hao Xiang Xin Xia Xu Han Jinlong Liu Jiaqi Ma 67 375 0 16 Sep 2021
Dataset Distillation with Infinitely Wide Convolutional Networks Timothy Nguyen Roman Novak Lechao Xiao Jaehoon Lee DD 100 236 0 27 Jul 2021
3D Human Pose Regression using Graph Convolutional Network Soubarna Banik Alejandro Mendoza García Alois C. Knoll 3DH 71 9 0 21 May 2021
Soft-Label Anonymous Gastric X-ray Image Distillation Guang Li Ren Togo Takahiro Ogawa Miki Haseyama DD 148 55 0 07 Apr 2021
Dataset Condensation with Differentiable Siamese Augmentation Bo Zhao Hakan Bilen DD 266 303 0 16 Feb 2021
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 168 992 0 03 Feb 2021
Scan2Cap: Context-aware Dense Captioning in RGB-D Scans Dave Zhenyu Chen A. Gholami Matthias Nießner Angel X. Chang 3DPC 154 176 0 03 Dec 2020
Dataset Meta-Learning from Kernel Ridge-Regression Timothy Nguyen Zhourung Chen Jaehoon Lee DD 156 246 0 30 Oct 2020
Practical One-Shot Federated Learning for Cross-Silo Setting Qinbin Li Bingsheng He Basel Alomair FedML 77 121 0 02 Oct 2020
SecDD: Efficient and Secure Method for Remotely Training Neural Networks Ilia Sucholutsky Matthias Schonlau 116 17 0 19 Sep 2020
Distilled One-Shot Federated Learning Yanlin Zhou George Pu Xiyao Ma Xiaolin Li D. Wu FedML DD 142 161 0 17 Sep 2020
Federated Learning via Synthetic Data Jack Goetz Ambuj Tewari FedML DD 52 72 0 11 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 245 577 0 27 Jul 2020
FetchSGD: Communication-Efficient Federated Learning with Sketching D. Rothchild Ashwinee Panda Enayat Ullah Nikita Ivkin Ion Stoica Vladimir Braverman Joseph E. Gonzalez Raman Arora FedML 93 370 0 15 Jul 2020
Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization Jianyu Wang Qinghua Liu Hao Liang Gauri Joshi H. Vincent Poor MoMe FedML 70 1,352 0 15 Jul 2020
Personalized Cross-Silo Federated Learning on Non-IID Data Yutao Huang Lingyang Chu Zirui Zhou Lanjun Wang Jiangchuan Liu J. Pei Yong Zhang FedML 98 611 0 07 Jul 2020
Federated Accelerated Stochastic Gradient Descent Honglin Yuan Tengyu Ma FedML 77 180 0 16 Jun 2020
Robust Federated Learning: The Case of Affine Distribution Shifts Amirhossein Reisizadeh Farzan Farnia Ramtin Pedarsani Ali Jadbabaie FedML OOD 90 166 0 16 Jun 2020
Dataset Condensation with Gradient Matching Bo Zhao Konda Reddy Mopuri Hakan Bilen DD 121 503 0 10 Jun 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 217 184 0 11 May 2020
From Local SGD to Local Fixed-Point Methods for Federated Learning Grigory Malinovsky D. Kovalev Elnur Gasanov Laurent Condat Peter Richtárik FedML 126 117 0 03 Apr 2020
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language Dave Zhenyu Chen Angel X. Chang Matthias Nießner 3DPC 100 378 0 18 Dec 2019
Soft-Label Dataset Distillation and Text Dataset Distillation Ilia Sucholutsky Matthias Schonlau DD 139 135 0 06 Oct 2019
One-Shot Federated Learning Neel Guha Ameet Talwalkar Virginia Smith FedML 55 218 0 28 Feb 2019
Towards Federated Learning at Scale: System Design Keith Bonawitz Hubert Eichner W. Grieskamp Dzmitry Huba A. Ingerman ... H. B. McMahan Timon Van Overveldt David Petrou Daniel Ramage Jason Roselander FedML 126 2,675 0 04 Feb 2019
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 190 5,227 0 14 Dec 2018
LEAF: A Benchmark for Federated Settings S. Caldas Sai Meher Karthik Duddu Peter Wu Tian Li Jakub Konecný H. B. McMahan Virginia Smith Ameet Talwalkar FedML 158 1,423 0 03 Dec 2018
Dataset Distillation Tongzhou Wang Jun-Yan Zhu Antonio Torralba Alexei A. Efros DD 90 297 0 27 Nov 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training Chengyue Wu Song Han Huizi Mao Yu Wang W. Dally 148 1,410 0 05 Dec 2017
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 285 8,928 0 25 Aug 2017
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 408 17,615 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,510 0 10 Dec 2015
Super-Samples from Kernel Herding Yutian Chen Max Welling Alex Smola 171 342 0 15 Mar 2012