Heterogeneous Federated Learning: State-of-the-art and Research Challenges

20 July 2023

Bo Du

Papers citing "Heterogeneous Federated Learning: State-of-the-art and Research Challenges"

50 / 76 papers shown

Title
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning Chongyang Tan Ruoqi Wen Rongpeng Li Zhifeng Zhao Ekram Hossain Honggang Zhang 70 0 0 16 May 2025
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections Max Kirchner Alexander C. Jenke S. Bodenstedt Fiona Kolbinger Oliver Saldanha Jakob N. Kather M. Wagner Stefanie Speidel FedML MedIm 91 1 0 23 Apr 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Di Lin FedML 122 1 0 12 Mar 2025
Geometric Knowledge-Guided Localized Global Distribution Alignment for Federated Learning Yanbiao Ma Wei-Ming Dai Wenke Huang Jiayi Chen 165 0 0 09 Mar 2025
Robust Federated Learning in Unreliable Wireless Networks: A Client Selection Approach Yansen Wang Wenkai Ji Jian Zhou Fu Xiao Tsung-Hui Chang 61 0 0 24 Feb 2025
FedTLU: Federated Learning with Targeted Layer Updates Jong-Ik Park Carlee Joe-Wong FedML 122 0 0 28 Jan 2025
FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 68 0 0 23 Jan 2025
Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs Amit Kumar Bhuyan H. Dutta S. Biswas 75 0 0 15 Jan 2025
Federated Learning with Label Distribution Skew via Logits Calibration Jie M. Zhang Zhiqi Li Yue Liu Jianghe Xu Shuang Wu Shouhong Ding Chao Wu FedML 58 142 0 01 Sep 2022
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning Anis Elgabli Chaouki Ben Issaid Amrit Singh Bedi K. Rajawat M. Bennis Vaneet Aggarwal FedML 26 31 0 17 Jun 2022
Disentangled Federated Learning for Tackling Attributes Skew via Invariant Aggregation and Diversity Transferring Zhengquan Luo Yunlong Wang Zilei Wang Zhenan Sun Tieniu Tan FedML 36 44 0 14 Jun 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 63 64 0 08 Jun 2022
Virtual Homogeneity Learning: Defending against Data Heterogeneity in Federated Learning Zhenheng Tang Yonggang Zhang Shaoshuai Shi Xinfu He Bo Han Xiaowen Chu FedML 63 74 0 06 Jun 2022
ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning Jingtao Li Adnan Siraj Rakin Xing Chen Zhezhi He Deliang Fan C. Chakrabarti 18 59 0 09 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 72 259 0 17 Mar 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon Geondo Park Wonyong Jeong Sung Ju Hwang FedML 48 19 0 23 Feb 2022
Personalization Improves Privacy-Accuracy Tradeoffs in Federated Learning A. Bietti Chen-Yu Wei Miroslav Dudík John Langford Zhiwei Steven Wu FedML 74 44 0 10 Feb 2022
Decentralized Federated Learning through Proxy Model Sharing Shivam Kalra Junfeng Wen Jesse C. Cresswell M. Volkovs Hamid R. Tizhoosh FedML 34 95 0 22 Nov 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 62 88 0 17 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning Robert Hönig Yiren Zhao Robert D. Mullins FedML 133 56 0 31 Oct 2021
FedProc: Prototypical Contrastive Federated Learning on Non-IID data Xutong Mu Yulong Shen Ke Cheng Xueli Geng Jiaxuan Fu Tao Zhang Zhiwei Zhang FedML 65 168 0 25 Sep 2021
Enforcing fairness in private federated learning via the modified method of differential multipliers Borja Rodríguez Gálvez Filip Granqvist Rogier van Dalen M. Seigel FedML 55 55 0 17 Sep 2021
FedKD: Communication Efficient Federated Learning via Knowledge Distillation Chuhan Wu Fangzhao Wu Lingjuan Lyu Yongfeng Huang Xing Xie FedML 50 385 0 30 Aug 2021
Multi-Center Federated Learning: Clients Clustering for Better Personalization Guodong Long Ming Xie Tao Shen Dinesh Manocha Xianzhi Wang Jing Jiang Chengqi Zhang FedML 44 246 0 19 Aug 2021
FedChain: Chained Algorithms for Near-Optimal Communication Cost in Federated Learning Charlie Hou K. K. Thekumparampil Giulia Fanti Sewoong Oh FedML 51 14 0 16 Aug 2021
FedPara: Low-Rank Hadamard Product for Communication-Efficient Federated Learning Nam Hyeon-Woo Moon Ye-Bin Tae-Hyun Oh FedML 51 120 0 13 Aug 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie Minghao Chen Pin-Yu Chen Yue Liu FedML 63 167 0 15 Jun 2021
Federated Learning on Non-IID Data: A Survey Hangyu Zhu Jinjin Xu Shiqing Liu Yaochu Jin OOD FedML 57 785 0 12 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 30 178 0 10 Jun 2021
No Fear of Heterogeneity: Classifier Calibration for Federated Learning with Non-IID Data Mi Luo Fei Chen Dapeng Hu Yifan Zhang Jian Liang Jiashi Feng FedML 63 336 0 09 Jun 2021
FedScale: Benchmarking Model and System Performance of Federated Learning at Scale Fan Lai Yinwei Dai Sanjay Sri Vallabh Singapuram Jiachen Liu Xiangfeng Zhu H. Madhyastha Mosharaf Chowdhury FedML 64 197 0 24 May 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning Zhuangdi Zhu Junyuan Hong Jiayu Zhou FedML 45 645 0 20 May 2021
PPFL: Privacy-preserving Federated Learning with Trusted Execution Environments Fan Mo Hamed Haddadi Kleomenis Katevas Eduard Marin Diego Perino N. Kourtellis FedML 102 246 0 29 Apr 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 287 855 0 01 Mar 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 251 802 0 15 Feb 2021
IPLS : A Framework for Decentralized Federated Learning C. Pappas Dimitris Chatzopoulos S. Lalis M. Vavalis VLM 45 67 0 06 Jan 2021
Fairness and Accuracy in Federated Learning Wei Huang Tianrui Li Dexian Wang Shengdong Du Junbo Zhang FedML 66 54 0 18 Dec 2020
Federated Learning for Personalized Humor Recognition Xu Guo Han Yu Boyang Albert Li Hao Wang Pengwei Xing Siwei Feng Zaiqing Nie Chunyan Miao FedML 29 13 0 03 Dec 2020
Fairness-aware Agnostic Federated Learning Wei Du Depeng Xu Xintao Wu Hanghang Tong FedML 41 130 0 10 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 86 550 0 03 Oct 2020
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare Matei Grama M. Mușat Luis Muñoz-González Jonathan Passerat-Palmbach Daniel Rueckert A. Alansary OOD FedML 41 45 0 17 Sep 2020
Federated Model Distillation with Noise-Free Differential Privacy Lichao Sun Lingjuan Lyu FedML 49 106 0 11 Sep 2020
Collaborative Fairness in Federated Learning Lingjuan Lyu Xinyi Xu Qian Wang FedML 53 190 0 27 Aug 2020
Performance Optimization for Federated Person Re-identification via Benchmark Analysis Weiming Zhuang Yonggang Wen Xuesen Zhang Xin Gan Daiying Yin Dongzhan Zhou Shuai Zhang Shuai Yi FedML 86 95 0 26 Aug 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 101 648 0 16 Jul 2020
Free-rider Attacks on Model Aggregation in Federated Learning Yann Fraboni Richard Vidal Marco Lorenzi FedML 34 126 0 21 Jun 2020
The OARF Benchmark Suite: Characterization and Implications for Federated Learning Systems Sixu Hu Yuan N. Li Xu Liu Yue Liu Zhaomin Wu Bingsheng He FedML 46 54 0 14 Jun 2020
Continual Local Training for Better Initialization of Federated Models Xin Yao Lifeng Sun FedML 36 71 0 26 May 2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus Yuzheng Li Chuan Chen Nan Liu Huawei Huang Zibin Zheng Qiang Yan FedML 43 401 0 02 Apr 2020
Anonymizing Data for Privacy-Preserving Federated Learning Olivia Choudhury A. Gkoulalas-Divanis Theodoros Salonidis I. Sylla Yoonyoung Park Grace Hsu Amar K. Das FedML 33 43 0 21 Feb 2020