FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models

8 September 2021

Papers citing "FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models"

27 / 27 papers shown

Title
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible Chaoyi Lu Yiding Sun Pengbo Li Zhichuan Yang FedML 34 0 0 05 Apr 2025
Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation Xinge Ma Jin Wang Xuejie Zhang FedML 73 0 0 08 Mar 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead Won-Jun Jang Hyeon-Seo Park Si-Hyeon Lee FedML 178 0 0 10 Feb 2025
NeuLite: Memory-Efficient Federated Learning via Elastic Progressive Training Yebo Wu Li Li Chunlin Tian Dubing Chen Chengzhong Xu FedML 26 3 0 20 Aug 2024
Heterogeneity-Aware Memory Efficient Federated Learning via Progressive Layer Freezing Wu Yebo Li Li Tian Chunlin Chang Tao Lin Chi Wang Cong Xu Cheng-Zhong FedML 26 4 0 17 Aug 2024
Federated Model Heterogeneous Matryoshka Representation Learning Liping Yi Han Yu Chao Ren Gang Wang Xiaoguang Liu Xiaoxiao Li FedML 43 8 0 01 Jun 2024
pFedAFM: Adaptive Feature Mixture for Batch-Level Personalization in Heterogeneous Federated Learning Liping Yi Han Yu Chao Ren Heng-Ming Zhang Gang Wang Xiaoguang Liu Xiaoxiao Li 35 2 0 27 Apr 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 56 4 0 02 Apr 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
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 29 8 0 02 Feb 2024
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
Model-Heterogeneous Federated Learning for Internet of Things: Enabling Technologies and Future Directions Boyu Fan Siyang Jiang Xiang Su Pan Hui 20 5 0 19 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
FedAL: Black-Box Federated Knowledge Distillation Enabled by Adversarial Learning Pengchao Han Xingyan Shi Jianwei Huang FedML 28 3 0 28 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
pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning Liping Yi Han Yu Gang Wang Xiaoguang Liu Xiaoxiao Li 41 7 0 20 Oct 2023
Federated Learning in IoT: a Survey from a Resource-Constrained Perspective Ishmeet Kaur 32 2 0 25 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 23 0 15 Aug 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
Federated Domain Generalization: A Survey Ying Li Xingwei Wang Rongfei Zeng Praveen Kumar Donta Ilir Murturi Min Huang Schahram Dustdar OOD FedML AI4CE 42 29 0 02 Jun 2023
FedGH: Heterogeneous Federated Learning with Generalized Global Header Liping Yi Gang Wang Xiaoguang Liu Zhuan Shi Han Yu FedML 31 71 0 23 Mar 2023
Knowledge Distillation in Federated Edge Learning: A Survey Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Xue Jiang Runhan Li Bo Gao FedML 27 4 0 14 Jan 2023
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 30 2 0 08 Nov 2022
Completely Heterogeneous Federated Learning Chang-Shu Liu Yuwen Yang Xun Cai Yue Ding Hongtao Lu FedML 20 8 0 28 Oct 2022
Exploring Semantic Attributes from A Foundation Model for Federated Learning of Disjoint Label Spaces Shitong Sun Chenyang Si Guile Wu S. Gong FedML 28 0 0 29 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
Federated Learning on Non-IID Data Silos: An Experimental Study Yue Liu Yiqun Diao Quan Chen Bingsheng He FedML OOD 89 946 0 03 Feb 2021