v1v2 (latest)

The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation

International Conference on Learning Representations (ICLR), 2023

21 January 2023

Papers citing "The Best of Both Worlds: Accurate Global and Personalized Models through Federated Learning with Data-Free Hyper-Knowledge Distillation"

22 / 22 papers shown

Title
FedMP: Tackling Medical Feature Heterogeneity in Federated Learning from a Manifold Perspective Zhekai Zhou Shudong Liu Zhaokun Zhou Yang Liu Qiang Yang Yuesheng Zhu Guibo Luo 84 0 0 07 Aug 2025
On the Fast Adaptation of Delayed Clients in Decentralized Federated Learning: A Centroid-Aligned Distillation Approach Jiahui Bai Hai Dong •. A. K. Qin FedML 95 0 0 05 Aug 2025
Optimal Transceiver Design in Over-the-Air Federated Distillation Zihao Hu Jia Yan Ying-Jun Angela Zhang Jun Zhang Khaled B. Letaief FedML 87 1 0 21 Jul 2025
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks Yuang Jia Xiaojuan Shan Jun Xia Guancheng Wan Y. Zhang Wenke Huang Mang Ye Stan Z. Li 308 0 0 01 Apr 2025
Subgraph Federated Learning for Local GeneralizationInternational Conference on Learning Representations (ICLR), 2025 Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 249 4 0 06 Mar 2025
CDFL: Efficient Federated Human Activity Recognition using Contrastive Learning and Deep Clustering Ensieh Khazaei Alireza Esmaeilzehi Bilal Taha Dimitrios Hatzinakos FedML 150 3 0 17 Jul 2024
BFLN: A Blockchain-based Federated Learning Model for Non-IID Data Yang Li Chunhe Xia Dongchi Huang Xiaojian Li Tianbo Wang FedML 223 1 0 07 Jul 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 177 16 0 16 Jun 2024
Variational Bayes for Federated Continual Learning Dezhong Yao Sanmu Li Yutong Dai Zhiqiang Xu Shengshan Hu Peilin Zhao Lichao Sun FedML 178 2 0 23 May 2024
SCALA: Split Federated Learning with Concatenated Activations and Logit Adjustments Jiarong Yang Yuan Liu FedML 138 3 0 08 May 2024
Recovering Labels from Local Updates in Federated Learning Huancheng Chen H. Vikalo FedML AAML 95 7 0 02 May 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 234 18 0 02 Apr 2024
FedD2S: Personalized Data-Free Federated Knowledge Distillation Kawa Atapour S. J. Seyedmohammadi J. Abouei Arash Mohammadi Konstantinos N. Plataniotis FedML 176 6 0 16 Feb 2024
Not all Minorities are Equal: Empty-Class-Aware Distillation for Heterogeneous Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2024 Kuangpu Guo Yuhe Ding Jian Liang Ran He Zilei Wang Tieniu Tan FedML 239 10 0 04 Jan 2024
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 239 9 0 21 Dec 2023
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 136 16 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 149 12 0 19 Dec 2023
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous DevicesComputer Vision and Pattern Recognition (CVPR), 2023 Huancheng Chen H. Vikalo FedML MQ 256 16 0 29 Nov 2023
Cross-Silo Federated Learning Across Divergent Domains with Iterative Parameter Alignment Matt Gorbett Hossein Shirazi Indrakshi Ray FedML 319 2 0 08 Nov 2023
Little is Enough: Improving Privacy by Sharing Labels in Federated Semi-Supervised LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Amr Abourayya Jens Kleesiek Kanishka Rao Erman Ayday Bharat Rao Geoff Webb Michael Kamp FedML 236 1 0 09 Oct 2023
ZooPFL: Exploring Black-box Foundation Models for Personalized Federated Learning Wang Lu Hao Yu Yongfeng Zhang Damien Teney Haohan Wang Yiqiang Chen Qiang Yang Xing Xie Xiangyang Ji 178 9 0 08 Oct 2023
Accelerating Non-IID Federated Learning via Heterogeneity-Guided Client SamplingNeural Information Processing Systems (NeurIPS), 2023 Huancheng Chen H. Vikalo FedML 119 2 0 30 Sep 2023