Title
Prompt Estimation from Prototypes for Federated Prompt Tuning of Vision Transformers M Yashwanth Sharannya Ghosh Aditay Tripathi Anirban Chakraborty VPVLM VLM 444 0 0 29 Oct 2025
Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead Durgesh Kalwar Mayank Baranwal H. Khadilkar 68 0 0 26 Sep 2025
Generalizable Federated Learning using Client Adaptive Focal Modulation Tajamul Ashraf Iqra Altaf Gillani FedML 128 0 0 14 Aug 2025
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation C. Shiranthika Zahra Hafezi Kafshgari Hadi Hadizadeh Parvaneh Saeedi FedML 293 0 0 01 Jul 2025
TriCon-SF: A Triple-Shuffle and Contribution-Aware Serial Federated Learning Framework for Heterogeneous Healthcare Data Yuping Yan Yizhi Wang Yuanshuai Li Yaochu Jin FedML 159 0 0 20 Jun 2025
Gradient Inversion Attacks on Parameter-Efficient Fine-TuningComputer Vision and Pattern Recognition (CVPR), 2025 Hasin Us Sami Swapneel Sen Amit K. Roy-Chowdhury S. Krishnamurthy Başak Güler FedML SILM 207 3 0 04 Jun 2025
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection Yeshwanth Venkatesha Souvik Kundu Priyadarshini Panda 150 1 0 31 May 2025
Mosaic: Data-Free Knowledge Distillation via Mixture-of-Experts for Heterogeneous Distributed Environments Junming Liu Yanting Gao Siyuan Meng Yifei Sun Aoqi Wu Yufei Jin Yirong Chen Botian Shi Guosun Zeng 245 2 0 26 May 2025
Heterogeneity-Aware Client Sampling: A Unified Solution for Consistent Federated Learning Shudi Weng Chao Ren Ming Xiao Mikael Skoglund FedML 177 3 0 16 May 2025
Topology-Aware Knowledge Propagation in Decentralized Learning Mansi Sakarvadia Nathaniel Hudson Tian Li Ian Foster Kyle Chard 234 0 0 16 May 2025
Rethinking Federated Graph Learning: A Data Condensation PerspectiveInternational Joint Conference on Artificial Intelligence (IJCAI), 2025 Hao Zhang Miao Hu Yinlin Zhu Lianglin Hu FedML DD AI4CE 257 2 0 05 May 2025
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 249 0 0 27 Apr 2025
Redefining non-IID Data in Federated Learning for Computer Vision Tasks: Migrating from Labels to Embeddings for Task-Specific Data Distributions Kasra Borazjani Payam Abdisarabshali Naji Khosravan Seyyedali Hosseinalipour FedML 232 7 0 17 Mar 2025
L2RW+: A Comprehensive Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification Yan Jiang Hao Yu Mengting Wei Zhaodong Sun Haoyu Chen Xu Cheng Guoying Zhao 211 1 0 15 Mar 2025
Federated Learning for Diffusion ModelsIEEE Transactions on Cognitive Communications and Networking (TCCN), 2025 Zihao Peng Xijun Wang Shengbo Chen Hong Rao Cong Shen DiffM FedML 283 2 0 09 Mar 2025
FedMABench: Benchmarking Mobile Agents on Decentralized Heterogeneous User Data Wenhao Wang Zijie Yu Guangyi Liu J.N. Zhang Tian Jin Yanfeng Wang FedML 241 2 0 07 Mar 2025
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation Changchang Yin Hong-You Chen Wei-Lun Chao Ping Zhang CML 199 1 0 06 Mar 2025
Accurate Forgetting for Heterogeneous Federated Continual LearningInternational Conference on Learning Representations (ICLR), 2025 Abudukelimu Wuerkaixi Sen Cui J.N. Zhang Kunda Yan Bo Han Gang Niu Lei Fang Changshui Zhang Masashi Sugiyama 481 20 0 20 Feb 2025
Comprehensive Study on Lumbar Disc Segmentation Techniques Using MRI Data Serkan Salturk Irem Sayin Ibrahim Cem Balci Taha Emre Pamukcu Zafer Soydan Huseyin Uvet 248 10 0 25 Dec 2024
One-shot Federated Learning via Synthetic Distiller-Distillate CommunicationNeural Information Processing Systems (NeurIPS), 2024 Junyuan Zhang Songhua Liu Xinchao Wang DD FedML 241 7 0 06 Dec 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 416 15 0 19 Nov 2024
Federated Learning Client Pruning for Noisy LabelsACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2024 Mahdi Morafah Hojin Chang Chong Chen Bill Lin 262 2 0 11 Nov 2024
Federated Time Series Generation on Feature and Temporally Misaligned Data Chenrui Fan Chenrui Fan Aditya Shankar Abele Malan Lydia Y. Chen FedML AI4TS 315 0 0 28 Oct 2024
A Unified Solution to Diverse Heterogeneities in One-shot Federated LearningKnowledge Discovery and Data Mining (KDD), 2024 Jun Bai Yiliao Song Di Wu Atul Sajjanhar Yong Xiang Wei Zhou Xiaohui Tao Yan Li Jian Wang FedML 321 2 0 28 Oct 2024
Federated brain tumor segmentation: an extensive benchmark Matthis Manthe Stefan Duffner Carole Lartizien OOD FedML 226 11 0 07 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated LearningInternational Conference on Learning Representations (ICLR), 2024 Pengxin Guo Shuang Zeng Y. Wang Huijie Fan Feifei Wang Liangqiong Qu FedML 500 42 0 02 Oct 2024
An Architecture Built for Federated Learning: Addressing Data Heterogeneity through Adaptive Normalization-Free Feature Recalibration Vasilis Siomos Jonathan Passerat-Palmbach Jonathan Passerat-Palmbach 228 0 0 02 Oct 2024
Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS Md Raihan Uddin Gauri Shankar Saddam Hossain Mukta Prabhat Kumar Najmul Islam FedML 125 1 0 24 Sep 2024
Tackling Data Heterogeneity in Federated Learning via Loss DecompositionInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024 Shuang Zeng Pengxin Guo Shuai Wang Jianbo Wang Yuyin Zhou Liangqiong Qu FedML 244 11 0 22 Aug 2024
FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation Philip Schutte V. Corbetta Regina Beets-Tan Wilson Silva FedML 172 1 0 21 Aug 2024
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix Yang Jin Sihun Baek Lei Zhang Hyelin Nam Praneeth Vepakomma Ramesh Raskar Mehdi Bennis Seong-Lyun Kim 238 5 0 02 Aug 2024
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection Yi Li Plamen Angelov Zhengxin Yu Alvaro Lopez Pellicer Neeraj Suri 177 4 0 22 Jun 2024
Optimisation of federated learning settings under statistical heterogeneity variations Basem Suleiman M. J. Alibasa R. Purwanto Lewis Jeffries Ali Anaissi Jacky Song FedML 230 0 0 10 Jun 2024
Transformer-based Federated Learning for Multi-Label Remote Sensing Image Classification Baris Büyüktas Kenneth Weitzel Sebastian Völkers Felix Zailskas Tim Siebert 273 12 0 24 May 2024
Recurrent Early Exits for Federated Learning with Heterogeneous ClientsInternational Conference on Machine Learning (ICML), 2024 Royson Lee Javier Fernandez-Marques S. Hu Da Li Stefanos Laskaridis Łukasz Dudziak Timothy M. Hospedales Ferenc Huszár Nicholas D. Lane 234 7 0 23 May 2024
Task-agnostic Decision Transformer for Multi-type Agent Control with Federated Split Training Zhiyuan Wang Bokui Chen Xiaoyang Qu Zhenhou Hong Jing Xiao Jianzong Wang 162 0 0 22 May 2024
Balancing Similarity and Complementarity for Federated LearningInternational Conference on Machine Learning (ICML), 2024 Kunda Yan Sen Cui Abudukelimu Wuerkaixi Jingfeng Zhang Bo Han Gang Niu Masashi Sugiyama Changshui Zhang FedML 142 10 0 16 May 2024
SPD-CFL: Stepwise Parameter Dropout for Efficient Continual Federated Learning Yuning Yang H. Yu Tianrun Gao Tianrun Gao Xiaohong Liu Xiaodong Xu Ping Zhang Guangyu Wang 243 6 0 15 May 2024
Towards Multi-modal Transformers in Federated Learning Guangyu Sun Matías Mendieta Aritra Dutta Xin Li Chong Chen 257 13 0 18 Apr 2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity Naibo Wang Yuchen Deng Wenjie Feng Shichen Fan Yuxiang Cai See-Kiong Ng FedML 252 14 0 18 Apr 2024
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation Jieyi Tan Yansheng Li S. Bartalev Bo Dang Wei Chen Yongjun Zhang Liangqi Yuan 103 5 0 14 Apr 2024
Heterogeneous Federated Learning with Splited Language Model Yifan Shi Yuhui Zhang Ziyue Huang Xiaofeng Yang Li Shen Wei Chen Xueqian Wang FedML 257 2 0 24 Mar 2024
An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated LearningComputer Vision and Pattern Recognition (CVPR), 2024 Jianqing Zhang Yang Liu Yang Hua Jian Cao 238 18 0 23 Mar 2024
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server Fei Li C. K. Loo W. S. Liew Xiaofeng Liu FedML 157 0 0 21 Mar 2024
FedMM: Federated Multi-Modal Learning with Modality Heterogeneity in Computational Pathology Yuanzhe Peng Jieming Bian Jie Xu 192 11 0 24 Feb 2024
The Risk of Federated Learning to Skew Fine-Tuning Features and Underperform Out-of-Distribution Robustness Mengyao Du Miao Zhang Yuwen Pu Kai Xu R. Beyah Quanjun Yin 194 1 0 25 Jan 2024
OnDev-LCT: On-Device Lightweight Convolutional Transformers towards federated learningNeural Networks (Neural Netw.), 2023 Chu Myaet Thwal Minh N. H. Nguyen Ye Lin Tun Seongjin Kim My T. Thai Choong Seon Hong 245 9 0 22 Jan 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental LearningEuropean Conference on Computer Vision (ECCV), 2024 Haiyang Guo Fei Zhu Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 260 18 0 04 Jan 2024
Multimodal Federated Learning with Missing Modality via Prototype Mask and Contrast Guangyin Bao Tao Gui Duoqian Miao Zixuan Gong Liang Hu Ke Liu Yang Liu Chongyang Shi 152 16 0 21 Dec 2023
ARIA: On the Interaction Between Architectures, Initialization and Aggregation Methods for Federated Visual ClassificationIEEE International Symposium on Biomedical Imaging (ISBI), 2023 Vasilis Siomos Jonathan Passerat-Palmbach Jonathan Passerat-Palmbach G. Tarroni 173 0 0 24 Nov 2023