Data-Free Knowledge Distillation for Heterogeneous Federated Learning

20 May 2021

Papers citing "Data-Free Knowledge Distillation for Heterogeneous Federated Learning"

32 / 82 papers shown

Title
Bayesian Federated Inference for estimating Statistical Models based on Non-shared Multicenter Data sets Marianne A Jonker H. Pazira Anthony C. C. Coolen FedML 20 5 0 15 Feb 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
FedSSC: Shared Supervised-Contrastive Federated Learning Sirui Hu Ling Feng Xiaohan Yang Yongchao Chen FedML 27 4 0 14 Jan 2023
AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices Peichun Li Guoliang Cheng Xumin Huang Jiawen Kang Rong Yu Yuan Wu Miao Pan FedML 45 21 0 08 Jan 2023
FedICT: Federated Multi-task Distillation for Multi-access Edge Computing Zhiyuan Wu Sheng Sun Yuwei Wang Min Liu Quyang Pan Xue Jiang Bo Gao 35 31 0 01 Jan 2023
Modeling Global Distribution for Federated Learning with Label Distribution Skew Tao Sheng Cheng Shen Yuan Liu Yeyu Ou Zhe Qu Jianxin Wang FedML 22 7 0 17 Dec 2022
Decentralized Learning with Multi-Headed Distillation A. Zhmoginov Mark Sandler Nolan Miller Gus Kristiansen Max Vladymyrov FedML 32 4 0 28 Nov 2022
DYNAFED: Tackling Client Data Heterogeneity with Global Dynamics Renjie Pi Weizhong Zhang Yueqi Xie Jiahui Gao Xiaoyu Wang Sunghun Kim Qifeng Chen DD 39 26 0 20 Nov 2022
FedTune: A Deep Dive into Efficient Federated Fine-Tuning with Pre-trained Transformers Jinyu Chen Wenchao Xu Song Guo Junxiao Wang Jie M. Zhang Haozhao Wang FedML 25 32 0 15 Nov 2022
Bayesian Federated Neural Matching that Completes Full Information Peng Xiao Samuel Cheng FedML 24 2 0 15 Nov 2022
FedTP: Federated Learning by Transformer Personalization Hongxia Li Zhongyi Cai Jingya Wang Jiangnan Tang Weiping Ding Chin-Teng Lin Ye-ling Shi FedML 32 59 0 03 Nov 2022
Exploiting Features and Logits in Heterogeneous Federated Learning Yun-Hin Chan Edith C. H. Ngai FedML 24 2 0 27 Oct 2022
FedFM: Anchor-based Feature Matching for Data Heterogeneity in Federated Learning Rui Ye Zhenyang Ni Chenxin Xu Jianyu Wang Siheng Chen Yonina C. Eldar FedML 19 31 0 14 Oct 2022
Meta Knowledge Condensation for Federated Learning Ping Liu Xin Yu Joey Tianyi Zhou DD FedML 25 28 0 29 Sep 2022
Label driven Knowledge Distillation for Federated Learning with non-IID Data Minh-Duong Nguyen Viet Quoc Pham D. Hoang Long Tran-Thanh Diep N. Nguyen W. Hwang 16 2 0 29 Sep 2022
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective Ping Luo Jieren Cheng Zhenhao Liu N. Xiong Jie Wu FedML 14 1 0 28 Sep 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
Multi-Level Branched Regularization for Federated Learning Jinkyu Kim Geeho Kim Bohyung Han FedML 10 53 0 14 Jul 2022
PrUE: Distilling Knowledge from Sparse Teacher Networks Shaopu Wang Xiaojun Chen Mengzhen Kou Jinqiao Shi 8 2 0 03 Jul 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 27 63 0 08 Jun 2022
Generalized Federated Learning via Sharpness Aware Minimization Zhe Qu Xingyu Li Rui Duan Yaojiang Liu Bo Tang Zhuo Lu FedML 20 130 0 06 Jun 2022
Uncertainty Minimization for Personalized Federated Semi-Supervised Learning Yanhang Shi Siguang Chen Haijun Zhang FedML 21 8 0 05 May 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning Lin Zhang Li Shen Liang Ding Dacheng Tao Ling-Yu Duan FedML 28 252 0 17 Mar 2022
FedCAT: Towards Accurate Federated Learning via Device Concatenation Ming Hu Tian Liu Zhiwei Ling Zhihao Yue Mingsong Chen FedML 11 1 0 23 Feb 2022
FedDTG:Federated Data-Free Knowledge Distillation via Three-Player Generative Adversarial Networks Zhenyuan Zhang Tao Shen Jie M. Zhang Chao-Xiang Wu FedML 13 13 0 10 Jan 2022
Robust Convergence in Federated Learning through Label-wise Clustering Hunmin Lee Yueyang Liu Donghyun Kim Yingshu Li FedML 22 1 0 28 Dec 2021
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation Tian Liu Xian Wei Jun Xia Xin Fu Ting Wang Mingsong Chen 6 15 0 29 Nov 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 20 87 0 17 Nov 2021
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning Yuezhou Wu Yan Kang Jiahuan Luo Yuanqin He Qiang Yang FedML AAML 17 68 0 16 Nov 2021
SplitAVG: A heterogeneity-aware federated deep learning method for medical imaging Miao Zhang Liangqiong Qu Praveer Singh Jayashree Kalpathy-Cramer D. Rubin OOD FedML 18 62 0 06 Jul 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
FedADC: Accelerated Federated Learning with Drift Control Emre Ozfatura Kerem Ozfatura Deniz Gunduz FedML 30 37 0 16 Dec 2020