Towards Personalized Federated Learning

1 March 2021

Papers citing "Towards Personalized Federated Learning"

50 / 355 papers shown

Title
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization Xiaoyang Yu Xiaoming Wu Xin Wang Dongrun Li Ming Yang Peng Cheng 20 0 0 14 May 2025
Towards Artificial General or Personalized Intelligence? A Survey on Foundation Models for Personalized Federated Intelligence Yu Qiao Huy Q. Le Avi Deb Raha Phuong-Nam Tran Apurba Adhikary Mengchun Zhang Loc X. Nguyen Eui-nam Huh Dusit Niyato C. Hong AI4CE 31 0 0 11 May 2025
MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning L. Yang W. Zhang Quan Z. Sheng Weitong Chen L. Yao Weitong Chen A. Shakeri 26 0 0 11 May 2025
Lazy But Effective: Collaborative Personalized Federated Learning with Heterogeneous Data Ljubomir Rokvic Panayiotis Danassis Boi Faltings FedML 33 0 0 05 May 2025
Federated Adapter on Foundation Models: An Out-Of-Distribution Approach Yiyuan Yang Guodong Long Tianyi Zhou Qinghua Lu Shanshan Ye Jing Jiang OODD 157 1 0 02 May 2025
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity Xiaolu Chen Chenghao Huang Yanru Zhang Hao Wang 62 0 0 25 Apr 2025
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models Gergely Németh Eros Fani Yeat Jeng Ng Barbara Caputo M. Lozano Nuria Oliver Novi Quadrianto FedML 26 0 0 15 Apr 2025
Query-based Knowledge Transfer for Heterogeneous Learning Environments Norah Alballa Wenxuan Zhang Ziquan Liu A. Abdelmoniem Mohamed Elhoseiny Marco Canini 29 0 0 12 Apr 2025
A Novel Algorithm for Personalized Federated Learning: Knowledge Distillation with Weighted Combination Loss Hengrui Hu Anai N. Kothari Anjishnu Banerjee FedML 38 0 0 06 Apr 2025
Operator Learning: A Statistical Perspective Unique Subedi Ambuj Tewari 26 0 0 04 Apr 2025
A Randomized Zeroth-Order Hierarchical Framework for Heterogeneous Federated Learning Yuyang Qiu Kibaek Kim Farzad Yousefian FedML 54 0 0 02 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Y. Li Bo Liu Sheng Huang Z. Zhang Xiaotong Yuan Richang Hong 43 0 0 31 Mar 2025
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 40 0 0 26 Mar 2025
pFedFair: Towards Optimal Group Fairness-Accuracy Trade-off in Heterogeneous Federated Learning Haoyu Lei Shizhan Gong Qi Dou Farzan Farnia FedML 59 0 0 19 Mar 2025
FedALT: Federated Fine-Tuning through Adaptive Local Training with Rest-of-the-World LoRA Jieming Bian Lei Wang Letian Zhang Jie Xu 50 1 0 14 Mar 2025
Drift-Aware Federated Learning: A Causal Perspective Yunjie Fang Sheng Wu Tao Yang X. Wu Bo Hu FedML 50 0 0 13 Mar 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 103 1 0 12 Mar 2025
Federated Multimodal Learning with Dual Adapters and Selective Pruning for Communication and Computational Efficiency Duy Phuong Nguyen J. P. Muñoz Tanya Roosta Ali Jannesari FedML 62 0 0 10 Mar 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
FLStore: Efficient Federated Learning Storage for non-training workloads Ahmad Faraz Khan Samuel Fountain Ahmed M. Abdelmoniem A. R. Butt A. Anwar FedML 41 0 0 01 Mar 2025
Scalable Decentralized Algorithms for Online Personalized Mean Estimation Franco Galante Giovanni Neglia Emilio Leonardi FedML 87 1 0 20 Feb 2025
Homophily Heterogeneity Matters in Graph Federated Learning: A Spectrum Sharing and Complementing Perspective Wentao Yu FedML 53 0 0 20 Feb 2025
Urinary Tract Infection Detection in Digital Remote Monitoring: Strategies for Managing Participant-Specific Prediction Complexity Kexin Fan Alexander Capstick R. Nilforooshan Payam Barnaghi 39 0 0 18 Feb 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning F. Stricker J. A. Peregrina D. Bermbach C. Zirpins FedML 76 0 0 31 Jan 2025
FedTLU: Federated Learning with Targeted Layer Updates Jong-Ik Park Carlee Joe-Wong FedML 84 0 0 28 Jan 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks Jiarui Song Yunheng Shen Chengbin Hou Pengyu Wang Jinbao Wang Ke Tang Hairong Lv FedML 44 1 0 24 Jan 2025
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 37 0 0 23 Jan 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions Maryam Ebrahimi Rajeev Sahay Seyyedali Hosseinalipour Bita Akram 42 1 0 20 Jan 2025
Calibre: Towards Fair and Accurate Personalized Federated Learning with Self-Supervised Learning Sijia Chen Ningxin Su Baochun Li FedML 30 0 0 31 Dec 2024
The Evolution and Future Perspectives of Artificial Intelligence Generated Content Chengzhang Zhu Luobin Cui Ying Tang Jiacun Wang 92 1 0 02 Dec 2024
FedAH: Aggregated Head for Personalized Federated Learning Pengzhan Zhou Yuepeng He Yijun Zhai Kaixin Gao Chao Chen Zhida Qin Chong Zhang Songtao Guo FedML 72 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
Towards Privacy-Preserving Medical Imaging: Federated Learning with Differential Privacy and Secure Aggregation Using a Modified ResNet Architecture Mohamad Haj Fares Ahmed Mohamed Saad Emam Saad OOD MedIm 68 1 0 01 Dec 2024
Federated Progressive Self-Distillation with Logits Calibration for Personalized IIoT Edge Intelligence Yingchao Wang Wenqi Niu 87 0 0 30 Nov 2024
Task Arithmetic Through The Lens Of One-Shot Federated Learning Zhixu Tao I. Mason Sanjeev R. Kulkarni Xavier Boix MoMe FedML 82 3 0 27 Nov 2024
Federated Learning with Uncertainty and Personalization via Efficient Second-order Optimization Shivam Pal Aishwarya Gupta Saqib Sarwar Piyush Rai FedML 76 0 0 27 Nov 2024
Adaptive Client Selection with Personalization for Communication Efficient Federated Learning Allan M. de Souza Filipe Maciel Joahannes B. D. da Costa L. Bittencourt E. Cerqueira A. A. F. Loureiro Leandro A. Villas FedML 93 16 0 26 Nov 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 96 3 0 19 Nov 2024
FedAli: Personalized Federated Learning with Aligned Prototypes through Optimal Transport Sannara Ek Kaile Wang François Portet P. Lalanda Jiannong Cao FedML 33 0 0 15 Nov 2024
Personalized Federated Learning via Feature Distribution Adaptation Connor Mclaughlin Lili Su FedML OOD 45 1 0 01 Nov 2024
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning Minghui Chen Meirui Jiang Xin Zhang Qi Dou Zehua Wang Xiaoxiao Li MoMe FedML 40 2 0 31 Oct 2024
FuseFL: One-Shot Federated Learning through the Lens of Causality with Progressive Model Fusion Zhenheng Tang Yonggang Zhang Peijie Dong Y. Cheung Amelie Chi Zhou Bo Han Xiaowen Chu FedML MoMe AI4CE 47 6 0 27 Oct 2024
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning Mengmeng Chen Xiaohu Wu Xiaoli Tang Tiantian He Y. Ong Qiqi Liu Qicheng Lao Han Yu FedML 24 3 0 25 Oct 2024
ProFL: Performative Robust Optimal Federated Learning Xue Zheng Tian Xie Xuwei Tan Aylin Yener Xueru Zhang Ali Payani Myungjin Lee FedML 30 0 0 23 Oct 2024
A Bayesian Framework for Clustered Federated Learning Peng Wu Tales Imbiriba Pau Closas FedML 46 0 0 20 Oct 2024
Personalizing Low-Rank Bayesian Neural Networks Via Federated Learning Boning Zhang Dongzhu Liu Osvaldo Simeone Guanchu Wang Dimitrios Pezaros Guangxu Zhu BDL FedML 31 0 0 18 Oct 2024
SANSee: A Physical-layer Semantic-aware Networking Framework for Distributed Wireless Sensing Huixiang Zhu Yong Xiao Yingyu Li Guangming Shi Marwan Krunz 44 1 0 16 Oct 2024
Why Go Full? Elevating Federated Learning Through Partial Network Updates Haolin Wang Xuefeng Liu Jianwei Niu Wenkai Guo Shaojie Tang FedML 20 0 0 15 Oct 2024
Mixture of Experts Made Personalized: Federated Prompt Learning for Vision-Language Models Jun Luo C. L. P. Chen Shandong Wu FedML VLM MoE 44 3 0 14 Oct 2024
GAI-Enabled Explainable Personalized Federated Semi-Supervised Learning Yubo Peng Feibo Jiang Li Dong Kezhi Wang Kun Yang FedML 33 0 0 11 Oct 2024