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2012.08677
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Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning
ACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2020
16 December 2020
Sheng Yue
Ju Ren
Jiang Xin
Sen Lin
Junshan Zhang
FedML
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Papers citing
"Inexact-ADMM Based Federated Meta-Learning for Fast and Continual Edge Learning"
21 / 21 papers shown
A Survey on Cloud-Edge-Terminal Collaborative Intelligence in AIoT Networks
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Richard Yu
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154
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Communication-Efficient Distributed Asynchronous ADMM
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160
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AugFL: Augmenting Federated Learning with Pretrained Models
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Zerui Qin
Yongheng Deng
Ju Ren
Yaoxue Zhang
Junshan Zhang
FedML
454
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04 Mar 2025
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems
Bibo Wu
Fang Fang
Xianbin Wang
FedML
194
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08 Jan 2025
A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework
IEEE Internet of Things Journal (IEEE IoT J.), 2024
Emna Baccour
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
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07 Aug 2024
Federated PCA on Grassmann Manifold for IoT Anomaly Detection
Tung-Anh Nguyen
Long Tan Le
Tuan Dung Nguyen
Wei Bao
Suranga Seneviratne
Choong Seon Hong
N. H. Tran
243
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10 Jul 2024
Training Machine Learning models at the Edge: A Survey
Aymen Rayane Khouas
Mohamed Reda Bouadjenek
Hakim Hacid
Sunil Aryal
513
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05 Mar 2024
Federated Deep Equilibrium Learning: A Compact Shared Representation for Edge Communication Efficiency
International Conference on Information and Knowledge Management (CIKM), 2023
Long Tan Le
Tuan Dung Nguyen
Tung-Anh Nguyen
Choong Seon Hong
Nguyen H. Tran
FedML
337
0
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27 Sep 2023
Personalized Graph Federated Learning with Differential Privacy
IEEE Transactions on Signal and Information Processing over Networks (TSIPN), 2023
François Gauthier
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
278
15
0
10 Jun 2023
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning
IEEE Transactions on Network and Service Management (TNSM), 2023
Jianhua Wang
Xiaolin Chang
J. Misic
Vojislav B. Mišić
Lin Li
Yingying Yao
FedML
305
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0
01 Jun 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Jiahao Liu
Jiang Wu
Jinyu Chen
Di Wu
Yipeng Zhou
Di Wu
FedML
323
36
0
10 May 2023
Mobilizing Personalized Federated Learning in Infrastructure-Less and Heterogeneous Environments via Random Walk Stochastic ADMM
Neural Information Processing Systems (NeurIPS), 2023
Ziba Parsons
Fei Dou
Houyi Du
Zheng Song
Jin Lu
325
5
0
25 Apr 2023
Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergence
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Chaoqun You
Kun Guo
Gang Feng
Peng Yang
Tony Q.S. Quek
FedML
174
8
0
23 Mar 2023
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption
Yejia Liu
Shijin Duan
Xiaolin Xu
Shaolei Ren
254
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0
23 Feb 2023
Federated Learning and Meta Learning: Approaches, Applications, and Directions
IEEE Communications Surveys and Tutorials (COMST), 2022
Xiaonan Liu
Yansha Deng
Arumugam Nallanathan
M. Bennis
421
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24 Oct 2022
Exact Penalty Method for Federated Learning
Shenglong Zhou
Geoffrey Ye Li
FedML
241
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0
23 Aug 2022
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
Chulin Xie
Pin-Yu Chen
Qinbin Li
Arash Nourian
Ce Zhang
Bo Li
FedML
295
21
0
20 Jul 2022
FedGiA: An Efficient Hybrid Algorithm for Federated Learning
IEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2022
Shenglong Zhou
Geoffrey Ye Li
FedML
497
22
0
03 May 2022
Federated Learning via Inexact ADMM
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Shenglong Zhou
Geoffrey Ye Li
FedML
543
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22 Apr 2022
Communication-Efficient ADMM-based Federated Learning
Shenglong Zhou
Geoffrey Ye Li
FedML
464
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0
28 Oct 2021
Efficient Federated Meta-Learning over Multi-Access Wireless Networks
IEEE Journal on Selected Areas in Communications (JSAC), 2021
Sheng Yue
Ju Ren
Jiang Xin
Deyu Zhang
Yaoxue Zhang
W. Zhuang
362
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14 Aug 2021
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