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Communication-Efficient Learning of Deep Networks from Decentralized
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v1v2v3v4 (latest)

Communication-Efficient Learning of Deep Networks from Decentralized Data

17 February 2016
H. B. McMahan
Eider Moore
Daniel Ramage
S. Hampson
Blaise Agüera y Arcas
    FedML
ArXiv (abs)PDFHTML

Papers citing "Communication-Efficient Learning of Deep Networks from Decentralized Data"

50 / 5,662 papers shown
Title
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
Saber Malekmohammadi
Yaoliang Yu
Yang Cao
FedML
168
6
0
17 Feb 2025
Preconditioned Inexact Stochastic ADMM for Deep Model
Shenglong Zhou
Ouya Wang
Ziyan Luo
Yongxu Zhu
Geoffrey Ye Li
97
0
0
15 Feb 2025
Ten Challenging Problems in Federated Foundation Models
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Yu Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
180
8
0
14 Feb 2025
ClusMFL: A Cluster-Enhanced Framework for Modality-Incomplete Multimodal Federated Learning in Brain Imaging Analysis
Xinpeng Wang
Rong Zhou
Han Xie
Xiaoying Tang
Lifang He
Carl Yang
91
1
0
14 Feb 2025
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
FedMHO: Heterogeneous One-Shot Federated Learning Towards Resource-Constrained Edge Devices
Dezhong Yao
Yuexin Shi
Tongtong Liu
Zhiqiang Xu
126
1
0
12 Feb 2025
Provably Robust Federated Reinforcement Learning
Provably Robust Federated Reinforcement Learning
Minghong Fang
Xilong Wang
Neil Zhenqiang Gong
FedML
137
0
0
12 Feb 2025
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
D. Domini
G. Aguzzi
L. Esterle
Mirko Viroli
FedML
106
0
0
12 Feb 2025
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Zhaomin Wu
Zhen Qin
Junyi Hou
Haodong Zhao
Qinbin Li
Bingsheng He
Lixin Fan
FedML
122
2
0
12 Feb 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data
Yuxia Sun
Aoxiang Sun
Siyi Pan
Zhixiao Fu
Jingcai Guo
189
0
0
11 Feb 2025
Vision-Language Models for Edge Networks: A Comprehensive Survey
Vision-Language Models for Edge Networks: A Comprehensive Survey
Ahmed Sharshar
Latif U. Khan
Waseem Ullah
Mohsen Guizani
VLM
167
3
0
11 Feb 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
Won-Jun Jang
Hyeon-Seo Park
Si-Hyeon Lee
FedML
504
0
0
10 Feb 2025
Fine-Tuning Federated Learning-Based Intrusion Detection Systems for Transportation IoT
Robert Akinie
Nana Kankam Gyimah
Mansi Bhavsar
John Kelly
158
0
0
10 Feb 2025
Deep Learning in Automated Power Line Inspection: A Review
Deep Learning in Automated Power Line Inspection: A Review
Md. Ahasan Atick Faisal
Imene Mecheter
Yazan Qiblawey
Javier Hernandez Fernandez
M. E. Chowdhury
S. Kiranyaz
101
2
0
10 Feb 2025
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach
Fine-tuning Multimodal Transformers on Edge: A Parallel Split Learning Approach
Timo Fudala
Vasileios Tsouvalas
N. Meratnia
MoE
120
0
0
10 Feb 2025
Secure Visual Data Processing via Federated Learning
Secure Visual Data Processing via Federated Learning
Pedro Santos
Tânia Carvalho
Filipe Magalhães
Luís Antunes
FedML
91
0
0
09 Feb 2025
Privacy-Preserving Dataset Combination
Privacy-Preserving Dataset Combination
Keren Fuentes
Mimee Xu
Irene Chen
120
0
0
09 Feb 2025
Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks
Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks
Yohannis Kifle Telila
Damitha Senevirathne
Dumindu Tissera
Apurva Narayan
Miriam A.M. Capretz
Katarina Grolinger
AAML
82
0
0
07 Feb 2025
Addressing Label Shift in Distributed Learning via Entropy Regularization
Addressing Label Shift in Distributed Learning via Entropy Regularization
Zhiyuan Wu
Changkyu Choi
Xiangcheng Cao
Volkan Cevher
Ali Ramezani-Kebrya
149
0
0
04 Feb 2025
Federated Learning with Discriminative Naive Bayes Classifier
Federated Learning with Discriminative Naive Bayes Classifier
Pablo Torrijos
Juan C. Alfaro
J. A. Gamez
J. M. Puerta
FedML
177
0
0
03 Feb 2025
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
A Privacy-Preserving Domain Adversarial Federated learning for multi-site brain functional connectivity analysis
Yanzhe Zhang
Likai Wang
Kuan-Jui Su
Aiying Zhang
Hao Zhu
Xiaowen Liu
Hui Shen
Vince D. Calhoun
Yuping Wang
H. Deng
117
0
0
03 Feb 2025
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
Robust Federated Finetuning of LLMs via Alternating Optimization of LoRA
Shuangyi Chen
Yuanxin Guo
Yue Ju
Harik Dalal
Ashish Khisti
117
2
0
03 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
Decoding FL Defenses: Systemization, Pitfalls, and Remedies
M. A. Khan
Virat Shejwalkar
Yasra Chandio
Amir Houmansadr
Fatima M. Anwar
AAML
116
0
0
03 Feb 2025
FedGES: A Federated Learning Approach for BN Structure Learning
FedGES: A Federated Learning Approach for BN Structure Learning
Pablo Torrijos
J. A. Gamez
J. M. Puerta
FedML
128
2
0
03 Feb 2025
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Tackling Feature and Sample Heterogeneity in Decentralized Multi-Task Learning: A Sheaf-Theoretic Approach
Chaouki Ben Issaid
Praneeth Vepakomma
Mehdi Bennis
170
3
0
03 Feb 2025
A Framework for Double-Blind Federated Adaptation of Foundation Models
A Framework for Double-Blind Federated Adaptation of Foundation Models
Nurbek Tastan
Karthik Nandakumar
FedML
88
0
0
03 Feb 2025
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
Artavazd Maranjyan
El Mehdi Saad
Peter Richtárik
Francesco Orabona
196
1
0
02 Feb 2025
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
Shuyuan Zheng
Sudong Cai
Chuan Xiao
Yang Cao
Jianbin Qin
Masatoshi Yoshikawa
Makoto Onizuka
TDIAAML
188
0
0
01 Feb 2025
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
Yu Feng
Yangli-ao Geng
Yifan Zhu
Zongfu Han
Xie Yu
Kaiwen Xue
Haoran Luo
Mengyang Sun
Guangwei Zhang
Meina Song
FedMLMoE
143
0
0
01 Feb 2025
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
Beyond the Permutation Symmetry of Transformers: The Role of Rotation for Model Fusion
Binchi Zhang
Zaiyi Zheng
Zhengzhang Chen
Wenlin Yao
256
1
0
01 Feb 2025
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
F. Stricker
J. A. Peregrina
D. Bermbach
C. Zirpins
FedML
175
0
0
31 Jan 2025
Meta-learning of shared linear representations beyond well-specified linear regression
Meta-learning of shared linear representations beyond well-specified linear regression
Mathieu Even
Laurent Massoulié
126
0
0
31 Jan 2025
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
Furkan Bagci
Busra Tegin
M. Kazemi
T. Duman
137
0
0
30 Jan 2025
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization
Kevin Cooper
Michael Geller
121
0
0
30 Jan 2025
Poisoning Attacks and Defenses to Federated Unlearning
Poisoning Attacks and Defenses to Federated Unlearning
Wenbin Wang
Qiwen Ma
Zifan Zhang
Yuchen Liu
Zhuqing Liu
Minghong Fang
MUFedML
193
2
0
29 Jan 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Do We Really Need to Design New Byzantine-robust Aggregation Rules?
Minghong Fang
Seyedsina Nabavirazavi
Zhuqing Liu
Wei Sun
S. Iyengar
Haibo Yang
AAMLOOD
136
8
0
29 Jan 2025
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
Xi Chen
Qin Li
Haibin Cai
Ting Wang
154
0
0
28 Jan 2025
Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management
Meta-Federated Learning: A Novel Approach for Real-Time Traffic Flow Management
Bob Johnson
Michael Geller
97
1
0
28 Jan 2025
Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems
Federated Learning for Efficient Condition Monitoring and Anomaly Detection in Industrial Cyber-Physical Systems
William Marfo
Deepak K. Tosh
Shirley V. Moore
AI4CE
109
8
0
28 Jan 2025
FedTLU: Federated Learning with Targeted Layer Updates
FedTLU: Federated Learning with Targeted Layer Updates
Jong-Ik Park
Carlee Joe-Wong
FedML
168
0
0
28 Jan 2025
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
Kaiyuan Zhang
Siyuan Cheng
Guangyu Shen
Bruno Ribeiro
Shengwei An
Pin-Yu Chen
Xinming Zhang
Ninghui Li
358
2
0
28 Jan 2025
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning
Data Duplication: A Novel Multi-Purpose Attack Paradigm in Machine Unlearning
Dayong Ye
Tainqing Zhu
Junlong Li
Kun Gao
B. Liu
Lefei Zhang
Wanlei Zhou
Yanmei Zhang
AAMLMU
177
2
0
28 Jan 2025
Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data
Judith Sáinz-Pardo Díaz
Á. García
203
0
0
28 Jan 2025
Integrating Personalized Federated Learning with Control Systems for Enhanced Performance
Alice Smith
Bob Johnson
Michael Geller
107
1
0
28 Jan 2025
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment
Sunny Gupta
Vinay Sutar
Varunav Singh
Amit Sethi
121
0
0
28 Jan 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
ALM
162
2
0
26 Jan 2025
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting
Milad Khademi Nori
Il-Min Kim
Guanghui
CLL
171
2
0
26 Jan 2025
Scalable Decentralized Learning with Teleportation
Scalable Decentralized Learning with Teleportation
Yuki Takezawa
Sebastian U. Stich
124
1
0
25 Jan 2025
DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning
DBA-DFL: Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning
Bohan Liu
Yang Xiao
Ruimeng Ye
Zinan Ling
Xiaolong Ma
Bo Hui
OODAAMLFedML
115
1
0
25 Jan 2025
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
Jiarui Song
Yunheng Shen
Chengbin Hou
Pengyu Wang
Jinbao Wang
Ke Tang
Hairong Lv
FedML
115
1
0
24 Jan 2025
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
Zhibo Tian
Ruijie Quan
Fan Ma
Kun Zhan
Yi Yang
118
1
0
24 Jan 2025
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