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1802.07876
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Federated Meta-Learning with Fast Convergence and Efficient Communication
22 February 2018
Fei Chen
Mi Luo
Zhenhua Dong
Zhenguo Li
Xiuqiang He
FedML
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Papers citing
"Federated Meta-Learning with Fast Convergence and Efficient Communication"
50 / 196 papers shown
Federated Learning via Meta-Variational Dropout
Neural Information Processing Systems (NeurIPS), 2025
Insu Jeon
Minui Hong
Junhyeog Yun
Gunhee Kim
FedML
239
11
0
23 Oct 2025
Federated Learning with Heterogeneous and Private Label Sets
Adam Breitholtz
Edvin Listo Zec
Fredrik D. Johansson
FedML
105
0
0
26 Aug 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Chaoyue Niu
Yucheng Ding
Junhui Lu
Zhengxiang Huang
Hang Zeng
Yutong Dai
Xuezhen Tu
Chengfei Lv
Fan Wu
Guihai Chen
331
2
0
17 Apr 2025
Federated Neural Architecture Search with Model-Agnostic Meta Learning
Xinyuan Huang
Jiechao Gao
FedML
AI4CE
281
0
0
08 Apr 2025
AugFL: Augmenting Federated Learning with Pretrained Models
Sheng Yue
Zerui Qin
Yongheng Deng
Ju Ren
Yaoxue Zhang
Junshan Zhang
FedML
376
4
0
04 Mar 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective
Wentao Yu
FedML
267
0
0
20 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Chaouki Ben Issaid
Praneeth Vepakomma
Mehdi Bennis
487
7
0
03 Feb 2025
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems
Bibo Wu
Fang Fang
Xianbin Wang
FedML
138
0
0
08 Jan 2025
FedAH: Aggregated Head for Personalized Federated Learning
Pengzhan Zhou
Yuepeng He
Yijun Zhai
Kaixin Gao
Chao Chen
Zhida Qin
Chong Zhang
Songtao Guo
FedML
274
1
0
02 Dec 2024
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction
IEEE Transactions on Cloud Computing (TCC), 2024
Yuepeng He
Pengzhan Zhou
Yijun Zhai
Fang Qu
Zhida Qin
Mingyan Li
Songtao Guo
228
7
0
02 Dec 2024
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
International Conference on Learning Representations (ICLR), 2024
Efstathia Soufleri
Shufan Wang
Daniel Jiang
Jian Li
FedML
441
3
0
22 Nov 2024
Overcoming label shift with target-aware federated learning
Edvin Listo Zec
Adam Breitholtz
Fredrik D. Johansson
FedML
423
1
0
06 Nov 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Boning Zhang
Dongzhu Liu
Osvaldo Simeone
Guanchu Wang
Dimitrios Pezaros
Guangxu Zhu
BDL
FedML
225
1
0
18 Oct 2024
Understanding the Statistical Accuracy-Communication Trade-off in Personalized Federated Learning with Minimax Guarantees
Xin Yu
Zelin He
Ying Sun
Lingzhou Xue
Runze Li
FedML
540
0
0
11 Oct 2024
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning
International Conference on Parallel Processing (ICPP), 2024
Zichen Tang
Junlin Huang
Rudan Yan
Yuxin Wang
Zhenheng Tang
Shaoshuai Shi
Amelie Chi Zhou
Xiaowen Chu
FedML
163
6
0
27 Aug 2024
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
FedML
OffRL
202
12
0
07 Aug 2024
PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning
Huandong Wang
Changzheng Gao
Yuchen Wu
Depeng Jin
Lina Yao
Yong Li
126
34
0
23 Jul 2024
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning
Xinghao Wu
Xuefeng Liu
Jianwei Niu
Guogang Zhu
Shaojie Tang
Xiaotian Li
Jiannong Cao
FedML
250
3
0
22 Jul 2024
FedPartWhole: Federated domain generalization via consistent part-whole hierarchies
Ahmed Radwan
Mohamed S. Shehata
FedML
208
3
0
20 Jul 2024
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning Approach
Chengzhe Piao
Taiyu Zhu
Yu Wang
S. Baldeweg
Paul Taylor
Pantelis Georgiou
Jiahao Sun
Jun Wang
Kezhi Li
FedML
230
5
0
21 Jun 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
226
22
0
22 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
IEEE Transactions on Big Data (IEEE Trans. Big Data), 2024
Chuan Chen
Tianchi Liao
Xiaojun Deng
Zihou Wu
Sheng Huang
Zibin Zheng
FedML
380
2
0
16 May 2024
LightTR: A Lightweight Framework for Federated Trajectory Recovery
IEEE International Conference on Data Engineering (ICDE), 2024
Ziqiao Liu
Hao Miao
Yan Zhao
Chenxi Liu
Kai Zheng
Huan Li
237
34
0
06 May 2024
Personalized Federated Learning via Stacking
Emilio Cantu-Cervini
FedML
132
0
0
16 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
Computer Vision and Pattern Recognition (CVPR), 2024
Rishub Tamirisa
Chulin Xie
Wenxuan Bao
Andy Zhou
Ron Arel
Aviv Shamsian
249
36
0
03 Apr 2024
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
Ruiqi Zheng
Liang Qu
Tong Chen
Kai Zheng
Yuhui Shi
Hongzhi Yin
216
11
0
01 Apr 2024
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients
Ping Luo
Xiaoge Deng
Ziqing Wen
Tao Sun
Dongsheng Li
FedML
198
0
0
25 Mar 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos
Tianyi Zhang
Yu Cao
Dianbo Liu
FedML
481
1
0
29 Feb 2024
Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks
Yun-Wei Chu
Dong-Jun Han
Seyyedali Hosseinalipour
Christopher G. Brinton
AI4CE
FedML
310
1
0
03 Feb 2024
Personalized Federated Learning with Contextual Modulation and Meta-Learning
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Thorsteinn Rögnvaldsson
FedML
246
3
0
23 Dec 2023
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations
Efstathia Soufleri
Gang Yan
Maroun Touma
Jian Li
297
9
0
17 Dec 2023
3FM: Multi-modal Meta-learning for Federated Tasks
Minh Tran
Roochi Shah
Zejun Gong
108
1
0
15 Dec 2023
Evaluating Multi-Global Server Architecture for Federated Learning
IEEE International Conference on Consumer Electronics (ICCE), 2023
Asfia Kawnine
Hung Cao
Atah Nuh Mih
Monica Wachowicz
155
0
0
26 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation Space
Neural Information Processing Systems (NeurIPS), 2023
Jianqing Zhang
Yang Hua
Jian Cao
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Haibing Guan
FedML
265
62
0
25 Nov 2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification
IEEE Internet of Things Journal (IEEE IoT J.), 2023
Yiwei Li
Chien-Wei Huang
Shuai Wang
Chong-Yung Chi
Tony Q.S. Quek
FedML
260
2
0
30 Oct 2023
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding
IEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2023
Jixuan Cui
Jun Li
Zhen Mei
Kang Wei
Sha Wei
Ming Ding
Wen Chen
Song Guo
FedML
169
10
0
13 Oct 2023
Federated Conditional Stochastic Optimization
Neural Information Processing Systems (NeurIPS), 2023
Xidong Wu
Jianhui Sun
Zhengmian Hu
Junyi Li
Aidong Zhang
Heng-Chiao Huang
FedML
387
4
0
04 Oct 2023
FedL2P: Federated Learning to Personalize
Neural Information Processing Systems (NeurIPS), 2023
Royson Lee
Minyoung Kim
Da Li
Xinchi Qiu
Timothy M. Hospedales
Ferenc Huszár
Nicholas D. Lane
FedML
155
0
0
03 Oct 2023
FedFNN: Faster Training Convergence Through Update Predictions in Federated Recommender Systems
Francesco Fabbri
Xianghang Liu
Jack R. McKenzie
Bartlomiej Twardowski
Tri Kurniawan Wijaya
FedML
170
0
0
14 Sep 2023
FedFwd: Federated Learning without Backpropagation
Seonghwan Park
Dahun Shin
Jinseok Chung
Namhoon Lee
FedML
236
6
0
03 Sep 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
IEEE International Conference on Computer Vision (ICCV), 2023
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
424
56
0
20 Aug 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design
IEEE Transactions on Artificial Intelligence (IEEE TAI), 2023
Mahdi Morafah
Weijia Wang
Bill Lin
FedML
200
14
0
28 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
ACM Computing Surveys (ACM Comput. Surv.), 2023
Mang Ye
Xiuwen Fang
Bo Du
PongChi Yuen
Dacheng Tao
FedML
AAML
464
460
0
20 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights
Adnane Mansour
Gaia Carenini
Alexandre Duplessis
FedML
276
1
0
12 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Anna Vettoruzzo
Mohamed-Rafik Bouguelia
Joaquin Vanschoren
Thorsteinn Rögnvaldsson
K. Santosh
OffRL
235
184
0
10 Jul 2023
Personalized Federated Learning via Amortized Bayesian Meta-Learning
Shiyu Liu
Shaogao Lv
Dun Zeng
Zenglin Xu
Hongya Wang
Yue Yu
FedML
203
4
0
05 Jul 2023
Elastically-Constrained Meta-Learner for Federated Learning
Peng Lan
Donglai Chen
Chong Xie
Keshu Chen
Jinyuan He
Juntao Zhang
Yonghong Chen
Yan Xu
FedML
270
2
0
29 Jun 2023
Federated Few-shot Learning
Knowledge Discovery and Data Mining (KDD), 2023
Song Wang
Xingbo Fu
Kaize Ding
Chen Chen
Huiyuan Chen
Jundong Li
FedML
277
37
0
17 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations
T. Krauß
Alexandra Dmitrienko
AAML
262
6
0
06 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions
Leijie Wu
Song Guo
Junxiao Wang
Zicong Hong
Jie Zhang
Jingren Zhou
KELM
192
4
0
02 Jun 2023
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