Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

15 November 2022

Enrique Tomás Martínez Beltrán

Mario Quiles Pérez

Pedro Miguel Sánchez Sánchez

Sergio López Bernal

Gérome Bovet

M. Pérez

Gregorio Martínez Pérez

Alberto Huertas Celdrán

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Papers citing "Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges"

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Argus: Federated Non-convex Bilevel Learning over 6G Space-Air-Ground Integrated Network Ya Liu Kai Yang Yu Zhu Keying Yang Haibo Zhao 21 0 0 14 May 2025
Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices Chao Feng Nicolas Huber Alberto Huertas Celdrán Gérome Bovet Burkhard Stiller FedML 46 0 0 12 May 2025
AugMixCloak: A Defense against Membership Inference Attacks via Image Transformation Heqing Ren Chao Feng Alberto Huertas Burkhard Stiller 21 0 0 11 May 2025
Hubs and Spokes Learning: Efficient and Scalable Collaborative Machine Learning Atul Sharma Kavindu Herath Saurabh Bagchi Chaoyue Liu Somali Chaterji FedML 42 0 0 29 Apr 2025
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence Amir Ali-Pour Sadra Bekrani Laya Samizadeh Julien Gascon-Samson FedML 37 0 0 22 Apr 2025
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients Leming Wu Yaochu Jin K. Hao Han Yu FedML 51 0 0 17 Apr 2025
Decentralized Nonconvex Composite Federated Learning with Gradient Tracking and Momentum Yuan Zhou Xinli Shi Xuelong Li Jiachen Zhong G. Wen Jinde Cao FedML 41 0 0 17 Apr 2025
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models Pascal Chang Jingwei Tang Markus Gross Vinicius Azevedo DiffM 30 21 0 03 Apr 2025
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection Diego Cajaraville-Aboy Marta Moure-Garrido Carlos Beis-Penedo C. García-Rubio R. Redondo Celeste Campo Ana Fernández Vilas M. Fernández-Veiga 36 0 0 02 Apr 2025
From Interpretation to Correction: A Decentralized Optimization Framework for Exact Convergence in Federated Learning Bicheng Ying Zhe Li Haibo Yang FedML 70 0 0 25 Mar 2025
Unified Analysis of Decentralized Gradient Descent: a Contraction Mapping Framework Erik G. Larsson Nicolo Michelusi 54 0 0 18 Mar 2025
Technical Insights and Legal Considerations for Advancing Federated Learning in Bioinformatics Daniele Malpetti Marco Scutari Francesco Gualdi Jessica van Setten Sander van der Laan Saskia Haitjema Aaron Mark Lee Isabelle Hering Francesca Mangili FedML AI4CE 109 1 0 12 Mar 2025
Accelerating MoE Model Inference with Expert Sharding Oana Balmau Anne-Marie Kermarrec Rafael Pires André Loureiro Espírito Santo M. Vos Milos Vujasinovic MoE 64 0 0 11 Mar 2025
Knowledge Augmentation in Federation: Rethinking What Collaborative Learning Can Bring Back to Decentralized Data Wentai Wu Ligang He Saiqin Long Ahmed M. Abdelmoniem Yingliang Wu Rui Mao 57 0 0 05 Mar 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction Nazmul Islam Mohammad Zulkernine 42 0 0 03 Mar 2025
A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration Yuchen Hu Xi Chen Weidong Liu Xiaojun Mao 57 0 0 31 Jan 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions Maryam Ebrahimi Rajeev Sahay Seyyedali Hosseinalipour Bita Akram 42 1 0 20 Jan 2025
Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs Amit Kumar Bhuyan H. Dutta S. Biswas 51 0 0 15 Jan 2025
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning Bin Li Xiaoye Miao Yongheng Shang Xinkui Zhao AAML 46 0 0 08 Jan 2025
ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes Pedro Miguel Sánchez Sánchez Enrique Tomás Martínez Beltrán Miguel Fernández Llamas Gérome Bovet Gregorio Martínez Pérez Alberto Huertas Celdrán FedML 82 0 0 15 Dec 2024
FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning Luca Palazzo M. Pennisi Federica Proietto Salanitri Giovanni Bellitto S. Palazzo C. Spampinato FedML 26 0 0 14 Nov 2024
Towards efficient compression and communication for prototype-based decentralized learning Pablo Fernández-Piñeiro Manuel Ferández-Veiga R. Redondo Ana Fernández Vilas Martín González Soto 35 0 0 14 Nov 2024
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning I-Cheng Lin Osman Yagan Carlee Joe-Wong FedML 23 1 0 24 Oct 2024
FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning Brianna Mueller W. Street Stephen Seung-Yeob Baek Qihang Lin Jingyi Yang Yankun Huang 31 0 0 17 Oct 2024
Boosting Asynchronous Decentralized Learning with Model Fragmentation Sayan Biswas Anne-Marie Kermarrec Alexis Marouani Rafael Pires Rishi Sharma M. Vos 23 1 0 16 Oct 2024
Rapid Grassmannian Averaging with Chebyshev Polynomials Brighton Ancelin Alex Saad-Falcon Kason Ancelin J. Romberg 34 0 0 11 Oct 2024
The Effect of Personalization in FedProx: A Fine-grained Analysis on Statistical Accuracy and Communication Efficiency Xin Yu Zelin He Ying Sun Lingzhou Xue Runze Li FedML 26 0 0 11 Oct 2024
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration Qinglun Li Miao Zhang Yingqi Liu Quanjun Yin Li Shen Xiaochun Cao FedML 39 0 0 09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement Qinglun Li Miao Zhang Mengzhu Wang Quanjun Yin Li Shen OODD FedML 24 0 0 09 Oct 2024
De-VertiFL: A Solution for Decentralized Vertical Federated Learning Alberto Huertas Celdrán Chao Feng Sabyasachi Banik Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller FedML 28 0 0 08 Oct 2024
Fair Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rishi Sharma Thibaud Trinca M. Vos FedML 32 0 0 03 Oct 2024
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel Gabriel Thompson Kai Yue Chau-Wai Wong H. Dai FedML 18 0 0 02 Oct 2024
Leveraging MTD to Mitigate Poisoning Attacks in Decentralized FL with Non-IID Data Chao Feng Alberto Huertas Celdrán Zien Zeng Zi Ye Jan von der Assen Gérome Bovet Burkhard Stiller AAML 33 0 0 28 Sep 2024
Byzantine-Robust Aggregation for Securing Decentralized Federated Learning Diego Cajaraville-Aboy Ana Fernández-Vilas R. Redondo Manuel Fernández-Veiga 25 2 0 26 Sep 2024
Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical Study Changlong Ji Stephane Maag Richard Heusdens Qiongxiu Li FedML 29 2 0 21 Sep 2024
Towards Practical Overlay Networks for Decentralized Federated Learning Yifan Hua Jinlong Pang Xiaoxue Zhang Yi Liu X. Shi Bao Wang Yang Liu Chen Qian FedML 39 1 0 09 Sep 2024
Decentralized Federated Learning with Model Caching on Mobile Agents Xiaoyu Wang Guojun Xiong Houwei Cao Jian Li Yong Liu FedML 31 1 0 26 Aug 2024
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets Xingrun Yan Shiyuan Zuo Rongfei Fan Han Hu Li Shen Puning Zhao Yong Luo FedML 55 0 0 19 Aug 2024
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 28 2 0 12 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 54 8 0 11 Jul 2024
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning Lin Wang Yang Chen Yongxin Guo Xiaoying Tang FedML 53 0 0 05 Jul 2024
Federated learning in food research Zuzanna Fendor Bas H. M. van der Velden Xinxin Wang Andrea Jr. Carnoli Osman Mutlu Ali Hürriyetoğlu FedML 41 0 0 10 Jun 2024
Exploring the Practicality of Federated Learning: A Survey Towards the Communication Perspective Khiem H. Le Nhan Luong-Ha Manh Nguyen-Duc Danh Le-Phuoc Cuong D. Do Kok-Seng Wong FedML 29 1 0 30 May 2024
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 38 4 0 30 May 2024
Decentralized Directed Collaboration for Personalized Federated Learning Yingqi Liu Yifan Shi Qinglun Li Baoyuan Wu Xueqian Wang Li Shen FedML 65 3 0 28 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 58 6 0 19 May 2024
Real-World Federated Learning in Radiology: Hurdles to overcome and Benefits to gain Markus R. Bujotzek Unal Akunal Stefan Denner Peter Neher M. Zenk ... Jens Kleesiek Tobias Penzkofer Klaus H. Maier-Hein R. Braren Andreas Bucher AI4CE 31 2 0 15 May 2024
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning Seyed Mahmoud Sajjadi Mohammadabadi Lei Yang Feng Yan Junshan Zhang 31 5 0 01 May 2024
Swarm Learning: A Survey of Concepts, Applications, and Trends Elham Shammar Xiaohui Cui M. A. Al-qaness 32 2 0 01 May 2024
Implementation of Big AI Models for Wireless Networks with Collaborative Edge Computing Liekang Zeng Shengyuan Ye Xu Chen Yang Yang 24 11 0 27 Apr 2024