FedHe: Heterogeneous Models and Communication-Efficient Federated Learning

19 October 2021

Papers citing "FedHe: Heterogeneous Models and Communication-Efficient Federated Learning"

11 / 11 papers shown

Title
Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogenous Federated Learning Jihyun Lim Junhyuk Jo Tuo Zhang Salman Avestimehr Sunwoo Lee FedML 51 0 0 14 Mar 2025
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training Sunwoo Lee Tuo Zhang Saurav Prakash Yue Niu Salman Avestimehr FedML 35 4 0 21 Jun 2024
FedHPL: Efficient Heterogeneous Federated Learning with Prompt Tuning and Logit Distillation Yuting Ma Lechao Cheng Yaxiong Wang Zhun Zhong Xiaohua Xu Meng Wang FedML 32 4 0 27 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 48 6 0 19 May 2024
Federated Distillation: A Survey Lin Li Jianping Gou Baosheng Yu Lan Du Zhang Yiand Dacheng Tao DD FedML 51 4 0 02 Apr 2024
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 30 8 0 22 Aug 2023
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey Kilian Pfeiffer Martin Rapp R. Khalili J. Henkel FedML 14 63 0 18 Jul 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 27 6 0 26 Jun 2023
FedIN: Federated Intermediate Layers Learning for Model Heterogeneity Yun-Hin Chan Zhihan Jiang Jing Deng Edith C. H. Ngai FedML 24 1 0 03 Apr 2023
Exploiting Features and Logits in Heterogeneous Federated Learning Yun-Hin Chan Edith C. H. Ngai FedML 24 2 0 27 Oct 2022
A Survey on Heterogeneous Federated Learning Dashan Gao Xin Yao Qian Yang FedML 22 58 0 10 Oct 2022