Federated Meta-Learning with Fast Convergence and Efficient Communication

22 February 2018

Papers citing "Federated Meta-Learning with Fast Convergence and Efficient Communication"

50 / 193 papers shown

Title
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 29 1 0 17 Apr 2025
Federated Neural Architecture Search with Model-Agnostic Meta Learning Xinyuan Huang Jiechao Gao FedML AI4CE 44 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 85 0 0 04 Mar 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 60 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 84 0 0 03 Feb 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 74 1 0 02 Dec 2024
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction Yuepeng He Pengzhan Zhou Yijun Zhai Fang Qu Zhida Qin Mingyan Li Songtao Guo 70 0 0 02 Dec 2024
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations Guojun Xiong Shufan Wang Daniel Jiang Jian Li FedML 73 1 0 22 Nov 2024
Overcoming label shift in targeted federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 42 0 0 06 Nov 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 36 0 0 18 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 26 0 0 11 Oct 2024
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated Learning Zichen Tang Junlin Huang Rudan Yan Yuxin Wang Zhenheng Tang S. Shi Amelie Chi Zhou Xiaowen Chu FedML 50 2 0 27 Aug 2024
A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani FedML OffRL 33 7 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 20 21 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 32 3 0 22 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 26 0 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 35 5 0 22 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 41 1 0 16 May 2024
LightTR: A Lightweight Framework for Federated Trajectory Recovery Ziqiao Liu Hao Miao Yan Zhao Chenxi Liu Kai Zheng Huan Li 18 20 0 06 May 2024
Personalized Federated Learning via Stacking Emilio Cantu-Cervini FedML 21 0 0 16 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 33 6 0 03 Apr 2024
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures Ruiqi Zheng Liang Qu Tong Chen Kai Zheng Yuhui Shi Hongzhi Yin 29 7 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 46 0 0 25 Mar 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 19 0 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 27 1 0 03 Feb 2024
Personalized Federated Learning with Contextual Modulation and Meta-Learning Anna Vettoruzzo Mohamed-Rafik Bouguelia Thorsteinn Rögnvaldsson FedML 17 1 0 23 Dec 2023
DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations Guojun Xiong Gang Yan Shiqiang Wang Jian Li 34 5 0 17 Dec 2023
3FM: Multi-modal Meta-learning for Federated Tasks Minh Tran Roochi Shah Zejun Gong 24 1 0 15 Dec 2023
Evaluating Multi-Global Server Architecture for Federated Learning Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 16 0 0 26 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 73 33 0 25 Nov 2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q. S. Quek FedML 22 1 0 30 Oct 2023
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation Encoding Jixuan Cui Jun Li Zhen Mei Kang Wei Sha Wei Ming Ding Wen Chen Song Guo FedML 17 7 0 13 Oct 2023
Federated Conditional Stochastic Optimization Xidong Wu Jianhui Sun Zhengmian Hu Junyi Li Aidong Zhang Heng-Chiao Huang FedML 36 4 0 04 Oct 2023
FedL2P: Federated Learning to Personalize Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 15 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 11 0 0 14 Sep 2023
FedFwd: Federated Learning without Backpropagation Seonghwan Park Dahun Shin Jinseok Chung Namhoon Lee FedML 19 5 0 03 Sep 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 39 23 0 20 Aug 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental Design Mahdi Morafah Weijia Wang Bill Lin FedML 29 7 0 28 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 244 0 20 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 20 0 0 12 Jul 2023
Advances and Challenges in Meta-Learning: A Technical Review Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 21 70 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 25 3 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 20 0 0 29 Jun 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 42 22 0 17 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 22 4 0 06 Jun 2023
On Knowledge Editing in Federated Learning: Perspectives, Challenges, and Future Directions Leijie Wu Song Guo Junxiao Wang Zicong Hong Jie M. Zhang Jingren Zhou KELM 32 4 0 02 Jun 2023
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 42 29 0 02 Jun 2023
Byzantine-Robust Clustered Federated Learning Zhixu Tao Kun Yang Sanjeev R. Kulkarni OOD FedML 18 2 0 01 Jun 2023
Global Layers: Non-IID Tabular Federated Learning Yazan Obeidi FedML 36 0 0 29 May 2023
Partially Personalized Federated Learning: Breaking the Curse of Data Heterogeneity Konstantin Mishchenko Rustem Islamov Eduard A. Gorbunov Samuel Horváth FedML 33 11 0 29 May 2023