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

Title
Federated Learning via Meta-Variational DropoutNeural Information Processing Systems (NeurIPS), 2025 Insu Jeon Minui Hong Junhyeog Yun Gunhee Kim FedML 207 10 0 23 Oct 2025
Federated Learning with Heterogeneous and Private Label Sets Adam Breitholtz Edvin Listo Zec Fredrik D. Johansson FedML 80 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 303 2 0 17 Apr 2025
Federated Neural Architecture Search with Model-Agnostic Meta Learning Xinyuan Huang Jiechao Gao FedML AI4CE 245 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 312 4 0 04 Mar 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 223 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 433 7 0 03 Feb 2025
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems Bibo Wu Fang Fang Xianbin Wang FedML 77 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 205 1 0 02 Dec 2024
FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed PredictionIEEE Transactions on Cloud Computing (TCC), 2024 Yuepeng He Pengzhan Zhou Yijun Zhai Fang Qu Zhida Qin Mingyan Li Songtao Guo 189 7 0 02 Dec 2024
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared RepresentationsInternational Conference on Learning Representations (ICLR), 2024 Efstathia Soufleri Shufan Wang Daniel Jiang Jian Li FedML 380 3 0 22 Nov 2024
Overcoming label shift with target-aware federated learning Edvin Listo Zec Adam Breitholtz Fredrik D. Johansson FedML 375 1 0 06 Nov 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated LearningInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024 Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 176 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 459 0 0 11 Oct 2024
Bandwidth-Aware and Overlap-Weighted Compression for Communication-Efficient Federated LearningInternational Conference on Parallel Processing (ICPP), 2024 Zichen Tang Junlin Huang Rudan Yan Yuxin Wang Zhenheng Tang Shaoshuai Shi Amelie Chi Zhou Xiaowen Chu FedML 136 6 0 27 Aug 2024
A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game FrameworkIEEE Internet of Things Journal (IEEE IoT J.), 2024 Emna Baccour A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani FedML OffRL 176 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 114 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 205 3 0 22 Jul 2024
FedPartWhole: Federated domain generalization via consistent part-whole hierarchies Ahmed Radwan Mohamed S. Shehata FedML 164 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 182 3 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 159 18 0 22 May 2024
Advances in Robust Federated Learning: A Survey with Heterogeneity ConsiderationsIEEE Transactions on Big Data (IEEE Trans. Big Data), 2024 Chuan Chen Tianchi Liao Xiaojun Deng Zihou Wu Sheng Huang Zibin Zheng FedML 312 2 0 16 May 2024
LightTR: A Lightweight Framework for Federated Trajectory RecoveryIEEE International Conference on Data Engineering (ICDE), 2024 Ziqiao Liu Hao Miao Yan Zhao Chenxi Liu Kai Zheng Huan Li 179 33 0 06 May 2024
Personalized Federated Learning via Stacking Emilio Cantu-Cervini FedML 105 0 0 16 Apr 2024
FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-TuningComputer Vision and Pattern Recognition (CVPR), 2024 Rishub Tamirisa Chulin Xie Wenxuan Bao Andy Zhou Ron Arel Aviv Shamsian 209 35 0 03 Apr 2024
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures Ruiqi Zheng Liang Qu Tong Chen Kai Zheng Yuhui Shi Hongzhi Yin 179 10 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 164 0 0 25 Mar 2024
Uncertainty-Based Extensible Codebook for Discrete Federated Learning in Heterogeneous Data Silos Tianyi Zhang Yu Cao Dianbo Liu FedML 403 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 171 1 0 03 Feb 2024
Personalized Federated Learning with Contextual Modulation and Meta-Learning Anna Vettoruzzo Mohamed-Rafik Bouguelia Thorsteinn Rögnvaldsson FedML 209 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 215 9 0 17 Dec 2023
3FM: Multi-modal Meta-learning for Federated Tasks Minh Tran Roochi Shah Zejun Gong 96 1 0 15 Dec 2023
Evaluating Multi-Global Server Architecture for Federated LearningIEEE International Conference on Consumer Electronics (ICCE), 2023 Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 128 0 0 26 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation SpaceNeural Information Processing Systems (NeurIPS), 2023 Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 202 60 0 25 Nov 2023
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model SparsificationIEEE Internet of Things Journal (IEEE IoT J.), 2023 Yiwei Li Chien-Wei Huang Shuai Wang Chong-Yung Chi Tony Q.S. Quek FedML 196 2 0 30 Oct 2023
Federated Meta-Learning for Few-Shot Fault Diagnosis with Representation EncodingIEEE 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 145 9 0 13 Oct 2023
Federated Conditional Stochastic OptimizationNeural Information Processing Systems (NeurIPS), 2023 Xidong Wu Jianhui Sun Zhengmian Hu Junyi Li Aidong Zhang Heng-Chiao Huang FedML 349 4 0 04 Oct 2023
FedL2P: Federated Learning to PersonalizeNeural Information Processing Systems (NeurIPS), 2023 Royson Lee Minyoung Kim Da Li Xinchi Qiu Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane FedML 121 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 130 0 0 14 Sep 2023
FedFwd: Federated Learning without Backpropagation Seonghwan Park Dahun Shin Jinseok Chung Namhoon Lee FedML 215 6 0 03 Sep 2023
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated LearningIEEE International Conference on Computer Vision (ICCV), 2023 Jianqing Zhang Yang Hua Hao Wang Tao Song Zhengui Xue Ruhui Ma Jianyin Cao Haibing Guan 357 53 0 20 Aug 2023
A Practical Recipe for Federated Learning Under Statistical Heterogeneity Experimental DesignIEEE Transactions on Artificial Intelligence (IEEE TAI), 2023 Mahdi Morafah Weijia Wang Bill Lin FedML 159 14 0 28 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research ChallengesACM Computing Surveys (ACM Comput. Surv.), 2023 Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 355 432 0 20 Jul 2023
Tackling Computational Heterogeneity in FL: A Few Theoretical Insights Adnane Mansour Gaia Carenini Alexandre Duplessis FedML 238 1 0 12 Jul 2023
Advances and Challenges in Meta-Learning: A Technical ReviewIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Anna Vettoruzzo Mohamed-Rafik Bouguelia Joaquin Vanschoren Thorsteinn Rögnvaldsson K. Santosh OffRL 196 168 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 158 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 200 2 0 29 Jun 2023
Federated Few-shot LearningKnowledge Discovery and Data Mining (KDD), 2023 Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 228 36 0 17 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 216 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 154 4 0 02 Jun 2023