FedMD: Heterogenous Federated Learning via Model Distillation

8 October 2019

Papers citing "FedMD: Heterogenous Federated Learning via Model Distillation"

50 / 375 papers shown

Title
Deep Model Fusion: A Survey Weishi Li Yong Peng Miao Zhang Liang Ding Han Hu Li Shen FedML MoMe 39 52 0 27 Sep 2023
DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning Kangyang Luo Shuai Wang Y. Fu Xiang Li Yunshi Lan Minghui Gao FedML 31 23 0 24 Sep 2023
UNIDEAL: Curriculum Knowledge Distillation Federated Learning Yuwen Yang Chang Liu Xun Cai Suizhi Huang Hongtao Lu Yue Ding FedML 45 8 0 16 Sep 2023
Learning From Drift: Federated Learning on Non-IID Data via Drift Regularization Yeachan Kim Bonggun Shin FedML 26 0 0 13 Sep 2023
FedFwd: Federated Learning without Backpropagation Seonghwan Park Dahun Shin Jinseok Chung Namhoon Lee FedML 19 5 0 03 Sep 2023
Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning Niklas Babendererde Moritz Fuchs Camila González Yuri Tolkach Anirban Mukhopadhyay OOD FedML 18 2 0 01 Sep 2023
Federated Neuro-Symbolic Learning Pengwei Xing Songtao Lu Han Yu FedML 31 2 0 29 Aug 2023
Federated Learning in IoT: a Survey from a Resource-Constrained Perspective Ishmeet Kaur 32 2 0 25 Aug 2023
Federated Learning for Computer Vision Yassine Himeur Iraklis Varlamis Hamza Kheddar Abbes Amira Shadi Atalla Yashbir Singh F. Bensaali W. Mansoor FedML 26 20 0 24 Aug 2023
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning Yun-Hin Chan Rui Zhou Running Zhao Zhihan Jiang Edith C.H. Ngai FedML 35 8 0 22 Aug 2023
Towards Personalized Federated Learning via Heterogeneous Model Reassembly Jiaqi Wang Xingyi Yang Suhan Cui Liwei Che Lingjuan Lyu Dongkuan Xu Fenglong Ma FedML 20 45 0 16 Aug 2023
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Ke Xu Wen Wang Xue Jiang Bo Gao Jin Lu 35 24 0 15 Aug 2023
Teacher-Student Architecture for Knowledge Distillation: A Survey Chengming Hu Xuan Li Danyang Liu Haolun Wu Xi Chen Ju Wang Xue Liu 21 16 0 08 Aug 2023
Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data Zhuang Qi Lei Meng Zitan Chen Han Hu Hui Lin Xiangxu Meng FedML 26 18 0 07 Aug 2023
FLight: A Lightweight Federated Learning Framework in Edge and Fog Computing Wu-Yang Zhu M. Goudarzi Rajkumar Buyya FedML 32 7 0 05 Aug 2023
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings Akihiro Mizoguchi A. Bogdanova A. Imakura T. Sakurai FedML 20 1 0 01 Aug 2023
Federated Learning for Data and Model Heterogeneity in Medical Imaging Hussain Ahmad Madni Rao Muhammad Umer G. Foresti FedML 23 4 0 31 Jul 2023
UPFL: Unsupervised Personalized Federated Learning towards New Clients Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao FedML 26 3 0 29 Jul 2023
FedMEKT: Distillation-based Embedding Knowledge Transfer for Multimodal Federated Learning Huy Q. Le Minh N. H. Nguyen Chu Myaet Thwal Yu Qiao Chao Zhang Choong Seon Hong 16 13 0 25 Jul 2023
CorrFL: Correlation-Based Neural Network Architecture for Unavailability Concerns in a Heterogeneous IoT Environment I. Shaer Abdallah Shami 27 8 0 22 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 43 23 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 39 248 0 20 Jul 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 22 65 0 18 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 34 4 0 05 Jul 2023
FedBone: Towards Large-Scale Federated Multi-Task Learning Yiqiang Chen Teng Zhang Xinlong Jiang Qian Chen Chenlong Gao Wuliang Huang FedML AI4CE 24 11 0 30 Jun 2023
Communication Resources Constrained Hierarchical Federated Learning for End-to-End Autonomous Driving Weihua Kou Shuai Wang Guangxu Zhu Bin Luo Yingxian Chen Derrick Wing Kwan Ng Yik-Chung Wu 22 12 0 28 Jun 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu Chong Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 99 85 0 27 Jun 2023
Medical Federated Model with Mixture of Personalized and Sharing Components Yawei Zhao Qinghe Liu Xinwang Liu K. He FedML OOD 18 2 0 26 Jun 2023
Federated Learning on Non-iid Data via Local and Global Distillation Xiaolin Zheng Senci Ying Fei Zheng Jianwei Yin Longfei Zheng Chaochao Chen Fengqin Dong FedML 43 6 0 26 Jun 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 29 43 0 25 Jun 2023
Federated Few-shot Learning Song Wang Xingbo Fu Kaize Ding Chen Chen Huiyuan Chen Jundong Li FedML 44 22 0 17 Jun 2023
Masked Autoencoders are Efficient Continual Federated Learners Subarnaduti Paul Lars-Joel Frey Roshni Kamath Kristian Kersting Martin Mundt CLL FedML 24 1 0 06 Jun 2023
pFedSim: Similarity-Aware Model Aggregation Towards Personalized Federated Learning Jiahao Tan Yipeng Zhou Gang Liu Jessie Hui Wang Shui Yu FedML 30 13 0 25 May 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training Yi Shi Yingqi Liu Yan Sun Zihao Lin Li Shen Xueqian Wang Dacheng Tao FedML 45 10 0 24 May 2023
Federated Generalized Category Discovery Nan Pu Zhun Zhong Xinyuan Ji N. Sebe FedML 30 13 0 23 May 2023
Explicit Personalization and Local Training: Double Communication Acceleration in Federated Learning Kai Yi Laurent Condat Peter Richtárik FedML 45 5 0 22 May 2023
ESAFL: Efficient Secure Additively Homomorphic Encryption for Cross-Silo Federated Learning Jiahui Wu Weizhe Zhang Fucai Luo 14 2 0 15 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 57 14 0 10 May 2023
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation Sheng Wan Dashan Gao Hanlin Gu Daning Hu FedML 16 7 0 09 May 2023
Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts Kun Jin Tongxin Yin Zhong Chen Zeyu Sun Xueru Zhang Yang Liu Mingyan D. Liu OOD FedML 25 7 0 08 May 2023
MrTF: Model Refinery for Transductive Federated Learning Xin-Chun Li Yang Yang De-Chuan Zhan 35 3 0 07 May 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation Daoyuan Chen Fandong Meng Dawei Gao Bolin Ding Yaliang Li FedML 116 47 0 04 May 2023
DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning Wenqiang Sun Sen Li Yuchang Sun Jun Zhang FedML AAML 11 0 0 02 May 2023
FedAVO: Improving Communication Efficiency in Federated Learning with African Vultures Optimizer Md Zarif Hossain Ahmed Imteaj FedML 32 5 0 02 May 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning Jie Zhang Xiaosong Ma Song Guo Wenchao Xu FedML 37 8 0 01 May 2023
FCA: Taming Long-tailed Federated Medical Image Classification by Classifier Anchoring Jeffry Wicaksana Zengqiang Yan Kwang-Ting Cheng FedML 40 5 0 01 May 2023
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack Hideaki Takahashi Jingjing Liu Yang Liu FedML 31 10 0 22 Apr 2023
Federated Learning of Shareable Bases for Personalization-Friendly Image Classification Hong-You Chen Shitian Zhao Ruotong Wang Xuhui Jia Qi Boqing Gong Wei-Lun Chao Li Zhang FedML 30 7 0 16 Apr 2023
Homogenizing Non-IID datasets via In-Distribution Knowledge Distillation for Decentralized Learning Deepak Ravikumar Gobinda Saha Sai Aparna Aketi Kaushik Roy 21 2 0 09 Apr 2023
Selective Knowledge Sharing for Privacy-Preserving Federated Distillation without A Good Teacher Jiawei Shao Fangzhao Wu Jun Zhang FedML 32 27 0 04 Apr 2023