Decentralized Federated Averaging

23 April 2021

Tao Sun

Dongsheng Li

Bao Wang

FedML

ArXiv PDF HTML

Papers citing "Decentralized Federated Averaging"

50 / 82 papers shown

Title
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 44 0 0 27 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 39 0 0 17 Apr 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 42 1 0 10 Mar 2025
The Built-In Robustness of Decentralized Federated Averaging to Bad Data Samuele Sabella C. Boldrini Lorenzo Valerio A. Passarella M. Conti FedML 77 0 0 25 Feb 2025
Encoded Spatial Attribute in Multi-Tier Federated Learning Asfia Kawnine Francis Palma Seyed Alireza Rahimi Azghadi Hung Cao FedML 42 0 0 10 Jan 2025
Accelerating Energy-Efficient Federated Learning in Cell-Free Networks with Adaptive Quantization Afsaneh Mahmoudi Ming Xiao Emil Björnson 46 0 0 31 Dec 2024
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein N. Raichur Tobias Feigl Christopher Mutschler Felix Ott 48 5 0 31 Dec 2024
Review of Mathematical Optimization in Federated Learning Shusen Yang Fangyuan Zhao Zihao Zhou Liang Shi Xuebin Ren Zongben Xu FedML AI4CE 67 0 0 02 Dec 2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Daniel Gutiérrez David Solans Mikko A. Heikkilä A. Vitaletti Nicolas Kourtellis Aris Anagnostopoulos I. Chatzigiannakis OOD 84 3 0 19 Nov 2024
ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation Liang Zhao Shenglin Geng Xiongyan Tang Ammar Hawbani Yunhe Sun Lexi Xu Daniele Tarchi 21 0 0 12 Nov 2024
Conformal Prediction for Federated Graph Neural Networks with Missing Neighbor Information Ömer Faruk Akgül R. Kannan Viktor Prasanna FedML 18 0 0 17 Oct 2024
Rapid Grassmannian Averaging with Chebyshev Polynomials Brighton Ancelin Alex Saad-Falcon Kason Ancelin J. Romberg 29 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 34 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 14 0 0 09 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 13 0 0 02 Oct 2024
Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical Study Changlong Ji Stephane Maag Richard Heusdens Qiongxiu Li FedML 19 2 0 21 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 48 5 0 17 Sep 2024
Federated Learning in Adversarial Environments: Testbed Design and Poisoning Resilience in Cybersecurity Hao Jian Huang Bekzod Iskandarov Mizanur Rahman FedML 47 1 0 15 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 29 0 0 09 Sep 2024
Federated Prediction-Powered Inference from Decentralized Data Ping Luo Xiaoge Deng Ziqing Wen Tao Sun Dongsheng Li FedML 18 0 0 03 Sep 2024
Decentralized Federated Learning with Model Caching on Mobile Agents Xiaoyu Wang Guojun Xiong Houwei Cao Jian Li Yong Liu FedML 14 1 0 26 Aug 2024
Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review Adel ElZemity Budi Arief 16 1 0 25 Jul 2024
Spiking Neural Networks in Vertical Federated Learning: Performance Trade-offs Maryam Abbasihafshejani Anindya Maiti Murtuza Jadliwala FedML 22 0 0 24 Jul 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 36 0 0 23 Jul 2024
DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations Minghao Yang Jingjing Zhang Shengyun Liu FedML 24 2 0 08 Jul 2024
Smart Sampling: Helping from Friendly Neighbors for Decentralized Federated Learning Lin Wang Yang Chen Yongxin Guo Xiaoying Tang FedML 41 0 0 05 Jul 2024
MSfusion: A Dynamic Model Splitting Approach for Resource-Constrained Machines to Collaboratively Train Larger Models Jin Xie Songze Li FedML 23 0 0 04 Jul 2024
On the Trade-off between Flatness and Optimization in Distributed Learning Ying Cao Zhaoxian Wu Kun Yuan Ali H. Sayed 28 1 0 28 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 27 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 27 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 51 3 0 28 May 2024
Unlearning during Learning: An Efficient Federated Machine Unlearning Method Hanlin Gu Gongxi Zhu Jie Zhang Xinyuan Zhao Yuxing Han Lixin Fan Qiang Yang MU 33 7 0 24 May 2024
Distributed Continual Learning Long Le Marcel Hussing Eric Eaton CLL FedML 21 2 0 23 May 2024
Robustness of Decentralised Learning to Nodes and Data Disruption Luigi Palmieri C. Boldrini Lorenzo Valerio A. Passarella M. Conti János Kertész 18 1 0 03 May 2024
Communication-Efficient Training Workload Balancing for Decentralized Multi-Agent Learning Seyed Mahmoud Sajjadi Mohammadabadi Lei Yang Feng Yan Junshan Zhang 21 4 0 01 May 2024
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme Qianyu Long Qiyuan Wang Christos Anagnostopoulos Daning Bi FedML 14 0 0 24 Apr 2024
One-Shot Sequential Federated Learning for Non-IID Data by Enhancing Local Model Diversity Naibo Wang Yuchen Deng Wenjie Feng Shichen Fan Jianwei Yin See-Kiong Ng FedML 24 5 0 18 Apr 2024
A Secure and Trustworthy Network Architecture for Federated Learning Healthcare Applications Antonio Boiano Marco Di Gennaro Luca Barbieri Michele Carminati M. Nicoli A. Redondi S. Savazzi Albert Sund Aillet Diogo Reis Santos Luigi Serio 16 1 0 17 Apr 2024
MAPL: Model Agnostic Peer-to-peer Learning Sayak Mukherjee Andrea Simonetto Hadi Jamali Rad 22 0 0 28 Mar 2024
Accelerating Federated Learning by Selecting Beneficial Herd of Local Gradients Ping Luo Xiaoge Deng Ziqing Wen Tao Sun Dongsheng Li FedML 25 0 0 25 Mar 2024
Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning Shuo Tang Rui Ye Chenxin Xu Xiaowen Dong Siheng Chen Yanfeng Wang 36 0 0 11 Mar 2024
Impact of network topology on the performance of Decentralized Federated Learning Luigi Palmieri C. Boldrini Lorenzo Valerio A. Passarella M. Conti 19 5 0 28 Feb 2024
Communication-Efficient Soft Actor-Critic Policy Collaboration via Regulated Segment Mixture in Internet of Vehicles Xiaoxue Yu Rongpeng Li Chengchao Liang Zhifeng Zhao 22 0 0 15 Dec 2023
Coordination-free Decentralised Federated Learning on Complex Networks: Overcoming Heterogeneity Lorenzo Valerio C. Boldrini A. Passarella János Kertész Márton Karsai Gerardo Iniguez FedML 15 5 0 07 Dec 2023
Federated Learning with Manifold Regularization and Normalized Update Reaggregation Xuming An Li Shen Han Hu Yong Luo FedML 36 4 0 10 Nov 2023
The Implications of Decentralization in Blockchained Federated Learning: Evaluating the Impact of Model Staleness and Inconsistencies F. Wilhelmi Nima Afraz Elia Guerra Paolo Dini 26 3 0 11 Oct 2023
Secure Decentralized Learning with Blockchain Xiaoxue Zhang Yifan Hua Chen Qian OOD 22 2 0 10 Oct 2023
Asymmetrically Decentralized Federated Learning Qinglun Li Miao Zhang Nan Yin Quanjun Yin Li Shen FedML 22 4 0 08 Oct 2023
Exploring the Impact of Disrupted Peer-to-Peer Communications on Fully Decentralized Learning in Disaster Scenarios Luigi Palmieri C. Boldrini Lorenzo Valerio A. Passarella M. Conti 18 6 0 04 Oct 2023
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture Amine Barrak Mayssa Jaziri Ranim Trabelsi Fehmi Jaafar Fábio Petrillo 20 2 0 25 Sep 2023