Model Pruning Enables Efficient Federated Learning on Edge Devices

26 September 2019

Leandros Tassiulas

Papers citing "Model Pruning Enables Efficient Federated Learning on Edge Devices"

50 / 51 papers shown

Title
Onboard Optimization and Learning: A Survey Monirul Islam Pavel Siyi Hu Mahardhika Pratama Ryszard Kowalczyk 26 0 0 07 May 2025
FedSpaLLM: Federated Pruning of Large Language Models Guangji Bai Yijiang Li Zilinghan Li Liang Zhao Kibaek Kim FedML 65 4 0 20 Feb 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
On the Impact of White-box Deployment Strategies for Edge AI on Latency and Model Performance Jaskirat Singh Bram Adams Ahmed E. Hassan VLM 43 0 0 01 Nov 2024
Breaking the Memory Wall for Heterogeneous Federated Learning via Model Splitting Chunlin Tian Li Li Kahou Tam Yebo Wu Chengzhong Xu FedML 29 1 0 12 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning Nurbek Tastan Samuel Horváth Martin Takáč Karthik Nandakumar FedML 59 0 0 03 Oct 2024
When Foresight Pruning Meets Zeroth-Order Optimization: Efficient Federated Learning for Low-Memory Devices Peng Zhang Yingjie Liu Yingbo Zhou Xiao Du Xian Wei Ting Wang Mingsong Chen FedML 32 1 0 08 May 2024
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long Qiyuan Wang Christos Anagnostopoulos Daning Bi FedML 28 0 0 24 Apr 2024
Rapid Deployment of DNNs for Edge Computing via Structured Pruning at Initialization Bailey J. Eccles Leon Wong Blesson Varghese 33 2 0 22 Apr 2024
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning Changlin Song Divya Saxena Jiannong Cao Yuqing Zhao FedML 42 3 0 14 Apr 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update Ziru Niu Hai Dong •. A. K. Qin 36 2 0 18 Mar 2024
Towards Urban General Intelligence: A Review and Outlook of Urban Foundation Models Weijiao Zhang Jindong Han Zhao Xu Hang Ni Hao Liu Hui Xiong Hui Xiong AI4CE 77 15 0 30 Jan 2024
Decoupled Knowledge with Ensemble Learning for Online Distillation Baitan Shao Ying Chen 26 0 0 18 Dec 2023
Straggler-resilient Federated Learning: Tackling Computation Heterogeneity with Layer-wise Partial Model Training in Mobile Edge Network Student Member Ieee Hongda Wu F. I. C. V. Ping Wang Aswartha Narayana FedML 46 1 0 16 Nov 2023
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization Qianyu Long Christos Anagnostopoulos S. P. Parambath Daning Bi AI4CE FedML 23 2 0 13 Sep 2023
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks Xiaonan Liu T. Ratnarajah M. Sellathurai Yonina C. Eldar 32 4 0 04 Sep 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review Sajjad Emdadi Mahdimahalleh AI4CE 35 0 0 01 Aug 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 33 7 0 20 Jul 2023
Green Federated Learning Ashkan Yousefpour Sheng Guo Ashish Shenoy Sayan Ghosh Pierre Stock Kiwan Maeng Schalk-Willem Kruger Michael G. Rabbat Carole-Jean Wu Ilya Mironov FedML AI4CE 44 10 0 26 Mar 2023
FedLP: Layer-wise Pruning Mechanism for Communication-Computation Efficient Federated Learning Zheqi Zhu Yuchen Shi Jia Luo Fei-Yue Wang Chenghui Peng Pingyi Fan Khaled B. Letaief FedML 40 20 0 11 Mar 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning Xiaopeng Jiang Cristian Borcea FedML 34 15 0 10 Mar 2023
FedCliP: Federated Learning with Client Pruning Beibei Li Zerui Shao Ao Liu Peiran Wang FedML 45 1 0 17 Jan 2023
HiFlash: Communication-Efficient Hierarchical Federated Learning with Adaptive Staleness Control and Heterogeneity-aware Client-Edge Association Qiong Wu Xu Chen Ouyang Tao Zhi Zhou Xiaoxi Zhang Shusen Yang Junshan Zhang 37 44 0 16 Jan 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 37 31 0 01 Jan 2023
Federated Learning for Inference at Anytime and Anywhere Zicheng Liu Da Li Javier Fernandez-Marques Stefanos Laskaridis Yan Gao L. Dudziak Stan Z. Li S. Hu Timothy M. Hospedales FedML 32 5 0 08 Dec 2022
Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image Zhaoxuan Zhang Xiaoguang Han B. Dong Tong Li Baocai Yin Xin Yang 3DPC 3DV 30 7 0 12 Oct 2022
Reducing Impacts of System Heterogeneity in Federated Learning using Weight Update Magnitudes Irene Wang 32 1 0 30 Aug 2022
Tensor Decomposition based Personalized Federated Learning Qing Wang Jing Jin Xiaofeng Liu Huixuan Zong Yunfeng Shao Yinchuan Li FedML 24 3 0 27 Aug 2022
Towards Sparsified Federated Neuroimaging Models via Weight Pruning Dimitris Stripelis Umang Gupta Nikhil J. Dhinagar Greg Ver Steeg Paul M. Thompson J. Ambite FedML 24 0 0 24 Aug 2022
Distributed Contrastive Learning for Medical Image Segmentation Yawen Wu Dewen Zeng Zhepeng Wang Yiyu Shi Jingtong Hu FedML 52 48 0 07 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges Shreshth Tuli Fatemeh Mirhakimi Samodha Pallewatta Syed Zawad G. Casale B. Javadi Feng Yan Rajkumar Buyya N. Jennings 21 56 0 01 Aug 2022
PASS: A Parameter Audit-based Secure and Fair Federated Learning Scheme against Free-Rider Attack Jianhua Wang Xiaolin Chang J. Misic Vojislav B. Mišić Yixiang Wang 24 7 0 15 Jul 2022
Efficient Adaptive Federated Optimization of Federated Learning for IoT Zunming Chen Hongyan Cui Ensen Wu Yu Xi 27 0 0 23 Jun 2022
Dap-FL: Federated Learning flourishes by adaptive tuning and secure aggregation Qian Chen Zilong Wang Jiawei Chen Haonan Yan Xiaodong Lin FedML 8 17 0 08 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 27 118 0 29 May 2022
Towards Communication-Learning Trade-off for Federated Learning at the Network Edge Jian-ji Ren Wanli Ni Hui Tian FedML 23 15 0 27 May 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+ Dimitris Stripelis Umang Gupta Greg Ver Steeg J. Ambite FedML 23 9 0 26 Apr 2022
FLAME: Federated Learning Across Multi-device Environments Hyunsung Cho Akhil Mathur F. Kawsar 16 21 0 17 Feb 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning Hanhan Zhou Tian-Shing Lan Guru Venkataramani Wenbo Ding FedML 32 6 0 27 Jan 2022
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 109 54 0 31 Oct 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 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
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
FLRA: A Reference Architecture for Federated Learning Systems Sin Kit Lo Qinghua Lu Hye-Young Paik Liming Zhu FedML AI4CE 47 24 0 22 Jun 2021
Communication-Efficient Federated Learning with Dual-Side Low-Rank Compression Zhefeng Qiao Xianghao Yu Jun Zhang Khaled B. Letaief FedML 41 19 0 26 Apr 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
Machine Learning for Cataract Classification and Grading on Ophthalmic Imaging Modalities: A Survey Xiaoqin Zhang Yan Hu Zunjie Xiao Jiansheng Fang Risa Higashita Jiang-Dong Liu 48 41 0 09 Dec 2020
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 36 51 0 24 Oct 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