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1909.12326
Cited By
Model Pruning Enables Efficient Federated Learning on Edge Devices
26 September 2019
Yuang Jiang
Shiqiang Wang
Victor Valls
Bongjun Ko
Wei-Han Lee
Kin K. Leung
Leandros Tassiulas
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Papers citing
"Model Pruning Enables Efficient Federated Learning on Edge Devices"
36 / 36 papers shown
Title
FedSpaLLM: Federated Pruning of Large Language Models
Guangji Bai
Yijiang Li
Zilinghan Li
Liang Zhao
Kibaek Kim
FedML
60
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
75
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
34
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
22
1
0
12 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
57
0
0
03 Oct 2024
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme
Qianyu Long
Qiyuan Wang
Christos Anagnostopoulos
Daning Bi
FedML
21
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
34
3
0
14 Apr 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
Ziru Niu
Hai Dong
•. A. K. Qin
28
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
13
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
29
1
0
16 Nov 2023
Adaptive Model Pruning and Personalization for Federated Learning over Wireless Networks
Xiaonan Liu
T. Ratnarajah
M. Sellathurai
Yonina C. Eldar
29
4
0
04 Sep 2023
Revolutionizing Wireless Networks with Federated Learning: A Comprehensive Review
Sajjad Emdadi Mahdimahalleh
AI4CE
23
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
23
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
36
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
27
20
0
11 Mar 2023
Complement Sparsification: Low-Overhead Model Pruning for Federated Learning
Xiaopeng Jiang
Cristian Borcea
FedML
23
15
0
10 Mar 2023
FedCliP: Federated Learning with Client Pruning
Beibei Li
Zerui Shao
Ao Liu
Peiran Wang
FedML
35
1
0
17 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
27
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
16
5
0
08 Dec 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
17
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
11
7
0
15 Jul 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
19
117
0
29 May 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+
Dimitris Stripelis
Umang Gupta
Greg Ver Steeg
J. Ambite
FedML
13
9
0
26 Apr 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
FedML
16
6
0
27 Jan 2022
Towards Fairness-Aware Federated Learning
Yuxin Shi
Han Yu
Cyril Leung
FedML
11
79
0
02 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Robert Hönig
Yiren Zhao
Robert D. Mullins
FedML
97
53
0
31 Oct 2021
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan
Warren Morningstar
Lin Ning
K. Singhal
OOD
FedML
20
71
0
27 Oct 2021
Cost-Effective Federated Learning in Mobile Edge Networks
Bing Luo
Xiang Li
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
49
71
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
16
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
39
24
0
22 Jun 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
176
267
0
26 Feb 2021
Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
Jiayi Wang
Shiqiang Wang
Rong-Rong Chen
Mingyue Ji
FedML
15
50
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
18
161
0
06 Aug 2020
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
1,685
0
14 Apr 2018
1