FedMD: Heterogenous Federated Learning via Model Distillation

8 October 2019

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

50 / 375 papers shown

Title
Public-data Assisted Private Stochastic Optimization: Power and Limitations Enayat Ullah Michael Menart Raef Bassily Cristóbal Guzmán Raman Arora 30 1 0 06 Mar 2024
Consensus learning: A novel decentralised ensemble learning paradigm Horia Magureanu Nairi Usher 45 1 0 25 Feb 2024
Practical Insights into Knowledge Distillation for Pre-Trained Models Norah Alballa Marco Canini 48 2 0 22 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning Christophe Roux Max Zimmer Sebastian Pokutta AAML 57 1 0 19 Feb 2024
FedD2S: Personalized Data-Free Federated Knowledge Distillation Kawa Atapour S. J. Seyedmohammadi J. Abouei Arash Mohammadi Konstantinos N. Plataniotis FedML 30 2 0 16 Feb 2024
Training Heterogeneous Client Models using Knowledge Distillation in Serverless Federated Learning Mohak Chadha Pulkit Khera Jianfeng Gu Osama Abboud Michael Gerndt FedML 27 4 0 11 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 26 13 0 10 Feb 2024
Personalized Federated Learning for Statistical Heterogeneity Muhammad Firdaus Kyung-Hyune Rhee FedML 19 1 0 07 Feb 2024
DFML: Decentralized Federated Mutual Learning Yasser H. Khalil A. Estiri Mahdi Beitollahi Nader Asadi S. Hemati Xu Li Guojun Zhang Xi Chen 27 1 0 02 Feb 2024
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning Liping Yi Han Yu Chao Ren Heng-Ming Zhang Gang Wang Xiaoguang Liu Xiaoxiao Li MoE 31 8 0 02 Feb 2024
Logit Poisoning Attack in Distillation-based Federated Learning and its Countermeasures Yonghao Yu Shunan Zhu Jinglu Hu AAML FedML 32 0 0 31 Jan 2024
Spectral Co-Distillation for Personalized Federated Learning Zihan Chen Howard H. Yang Tony Q.S. Quek Kai Fong Ernest Chong OOD FedML 32 13 0 29 Jan 2024
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control Xiaocheng Li Si-ren Liu Zimu Zhou Bin Guo Yuan Xu Zhiwen Yu 35 0 0 29 Jan 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 58 34 0 25 Jan 2024
FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data Zikai Xiao Zihan Chen Liyinglan Liu Yang Feng Jian Wu Wanlu Liu Qiufeng Wang Howard H. Yang Zuo-Qiang Liu FedML 39 6 0 17 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie-jin Yang Siheng Chen FedML 32 0 0 16 Jan 2024
Logits Poisoning Attack in Federated Distillation Yuhan Tang Zhiyuan Wu Bo Gao Tian Wen Yuwei Wang Sheng Sun FedML AAML 44 2 0 08 Jan 2024
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning Jianqing Zhang Yang Liu Yang Hua Jian Cao FedML 68 38 0 06 Jan 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated Learning Kuangpu Guo Yuhe Ding Jian Liang Ran He Zilei Wang Tieniu Tan FedML 40 1 0 04 Jan 2024
Federated Class-Incremental Learning with New-Class Augmented Self-Distillation Zhiyuan Wu Tianliu He Sheng Sun Yuwei Wang Min Liu Bo Gao Xue Jiang CLL FedML 24 4 0 01 Jan 2024
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning Hideaki Takahashi SILM 38 2 0 29 Dec 2023
LEFL: Low Entropy Client Sampling in Federated Learning Waqwoya Abebe J. P. Muñoz Ali Jannesari FedML 20 0 0 29 Dec 2023
Replica Tree-based Federated Learning using Limited Data Ramona Ghilea I. Rekik 27 0 0 28 Dec 2023
Federated Learning via Input-Output Collaborative Distillation Xuan Gong Shanglin Li Yuxiang Bao Barry Yao Yawen Huang Ziyan Wu Baochang Zhang Yefeng Zheng David Doermann FedML 23 6 0 22 Dec 2023
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning Zhongyi Cai Ye-ling Shi Wei Huang Jingya Wang FedML 35 4 0 21 Dec 2023
Model-Heterogeneous Federated Learning for Internet of Things: Enabling Technologies and Future Directions Boyu Fan Siyang Jiang Xiang Su Pan Hui 28 5 0 19 Dec 2023
Dynamic Heterogeneous Federated Learning with Multi-Level Prototypes Shunxin Guo Hongsong Wang Xin Geng FedML 34 7 0 15 Dec 2023
FedSSA: Semantic Similarity-based Aggregation for Efficient Model-Heterogeneous Personalized Federated Learning Liping Yi Han Yu Zhuan Shi Gang Wang Xiaoguang Liu Lizhen Cui Xiaoxiao Li FedML 40 6 0 14 Dec 2023
Fake It Till Make It: Federated Learning with Consensus-Oriented Generation Rui Ye Yaxin Du Zhenyang Ni Siheng Chen Yanfeng Wang FedML 36 5 0 10 Dec 2023
Factor-Assisted Federated Learning for Personalized Optimization with Heterogeneous Data Feifei Wang Huiyun Tang Yang Li FedML 29 0 0 07 Dec 2023
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 41 17 0 01 Dec 2023
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum Riccardo Zaccone Carlo Masone Marco Ciccone FedML 30 2 0 30 Nov 2023
Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning Xi Li Chen Henry Wu Jiaqi Wang AAML 59 5 0 30 Nov 2023
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices Huancheng Chen H. Vikalo FedML MQ 19 7 0 29 Nov 2023
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning Pengchao Han Xingyan Shi Jianwei Huang FedML 36 3 0 28 Nov 2023
AdapterFL: Adaptive Heterogeneous Federated Learning for Resource-constrained Mobile Computing Systems Ruixuan Liu Ming Hu Zeke Xia Jun Xia Peng Zhang Yihao Huang Yang Liu Mingsong Chen FedML 35 6 0 23 Nov 2023
Have Your Cake and Eat It Too: Toward Efficient and Accurate Split Federated Learning Dengke Yan Ming Hu Zeke Xia Yanxin Yang Jun Xia Xiaofei Xie Mingsong Chen FedML 20 5 0 22 Nov 2023
ECLM: Efficient Edge-Cloud Collaborative Learning with Continuous Environment Adaptation Zhuang Yan Zhenzhe Zheng Yunfeng Shao Bingshuai Li Fan Wu Guihai Chen 25 3 0 18 Nov 2023
pFedES: Model Heterogeneous Personalized Federated Learning with Feature Extractor Sharing Liping Yi Han Yu Gang Wang Xiaoguang Liu 46 7 0 12 Nov 2023
Cross-feature Contrastive Loss for Decentralized Deep Learning on Heterogeneous Data Sai Aparna Aketi Kaushik Roy FedML 32 2 0 24 Oct 2023
Vicinal Feature Statistics Augmentation for Federated 3D Medical Volume Segmentation Y. Huang Wanqing Xie Mingzhen Li Mingmei Cheng Jinzhou Wu Weixiao Wang Jane You Xiaofeng Liu FedML 31 3 0 23 Oct 2023
Towards Realistic Mechanisms That Incentivize Federated Participation and Contribution Marco Bornstein Amrit Singh Bedi Anit Kumar Sahu Furqan Khan Furong Huang FedML 19 0 0 20 Oct 2023
pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning Liping Yi Han Yu Gang Wang Xiaoguang Liu Xiaoxiao Li 51 7 0 20 Oct 2023
Little is Enough: Improving Privacy by Sharing Labels in Federated Semi-Supervised Learning Amr Abourayya Jens Kleesiek Kanishka Rao Erman Ayday Bharat Rao Geoff Webb Michael Kamp FedML 42 0 0 09 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 30 61 0 08 Oct 2023
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning Peiran Xu Zeyu Wang Jieru Mei Liangqiong Qu Alan L. Yuille Cihang Xie Yuyin Zhou FedML 29 1 0 06 Oct 2023
Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt Zihao Zhao Zhenpeng Shi Yang Liu Wenbo Ding FedML 40 1 0 04 Oct 2023
Fusing Models with Complementary Expertise Hongyi Wang Felipe Maia Polo Yuekai Sun Souvik Kundu Eric P. Xing Mikhail Yurochkin FedML MoMe 28 26 0 02 Oct 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 16 16 0 30 Sep 2023
Generalizable Heterogeneous Federated Cross-Correlation and Instance Similarity Learning Wenke Huang J. J. Valero-Mas Dasaem Jeong Bo Du FedML 38 44 0 28 Sep 2023