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Communication-Efficient Learning of Deep Networks from Decentralized
  Data
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 / 5,672 papers shown
Title
Boosting the Performance of Decentralized Federated Learning via
  Catalyst Acceleration
Boosting the Performance of Decentralized Federated Learning via Catalyst Acceleration
Qinglun Li
Miao Zhang
Yingqi Liu
Quanjun Yin
Li Shen
Xiaochun Cao
FedML
101
0
0
09 Oct 2024
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning
Jiashi Gao
Ziwei Wang
Xiangyu Zhao
Xin Yao
Xuetao Wei
104
0
0
09 Oct 2024
OledFL: Unleashing the Potential of Decentralized Federated Learning via
  Opposite Lookahead Enhancement
OledFL: Unleashing the Potential of Decentralized Federated Learning via Opposite Lookahead Enhancement
Qinglun Li
Miao Zhang
Mengzhu Wang
Quanjun Yin
Li Shen
OODDFedML
71
0
0
09 Oct 2024
Glider: Global and Local Instruction-Driven Expert Router
Glider: Global and Local Instruction-Driven Expert Router
Pingzhi Li
Prateek Yadav
Jaehong Yoon
Jie Peng
Yi-Lin Sung
Joey Tianyi Zhou
Tianlong Chen
MoMeMoE
99
2
0
09 Oct 2024
Communication-Efficient Federated Group Distributionally Robust
  Optimization
Communication-Efficient Federated Group Distributionally Robust Optimization
Zhishuai Guo
Tianbao Yang
FedML
130
0
0
08 Oct 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge
  Distillation from Server
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server
Wenhao Wang
Xiaoyu Liang
Rui Ye
Jingyi Chai
Siheng Chen
Yanfeng Wang
SyDa
98
6
0
08 Oct 2024
Federated Neural Nonparametric Point Processes
Federated Neural Nonparametric Point Processes
Hui Chen
Hengyu Liu
Hengyu Liu
Xuhui Fan
Zhilin Zhao
Feng Zhou
Christopher J. Quinn
Longbing Cao
FedML
107
0
0
08 Oct 2024
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction
Federated Learning with Dynamic Client Arrival and Departure: Convergence and Rapid Adaptation via Initial Model Construction
Zhan-Lun Chang
Dong-Jun Han
Rohit Parasnis
Seyyedali Hosseinalipour
Christopher G. Brinton
77
0
0
08 Oct 2024
Aiding Global Convergence in Federated Learning via Local Perturbation
  and Mutual Similarity Information
Aiding Global Convergence in Federated Learning via Local Perturbation and Mutual Similarity Information
Emanuel Buttaci
Giuseppe Carlo Calafiore
FedML
120
0
0
07 Oct 2024
A Seesaw Model Attack Algorithm for Distributed Learning
A Seesaw Model Attack Algorithm for Distributed Learning
Kun Yang
Tianyi Luo
Yanjie Dong
Aohan Li
AAMLFedML
39
0
0
07 Oct 2024
Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power
  Constraint
Over-the-Air Federated Learning in Cell-Free MIMO with Long-term Power Constraint
Yifan Wang
Cheng Zhang
Yuanndon Zhuang
Mingzeng Dai
Haiming Wang
Yongming Huang
60
0
0
07 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks
FRIDA: Free-Rider Detection using Privacy Attacks
Pol G. Recasens
Ádám Horváth
Alberto Gutierrez-Torre
Jordi Torres
Josep Ll. Berral
Balázs Pejó
FedML
78
0
0
07 Oct 2024
FairFML: Fair Federated Machine Learning with a Case Study on Reducing
  Gender Disparities in Cardiac Arrest Outcome Prediction
FairFML: Fair Federated Machine Learning with a Case Study on Reducing Gender Disparities in Cardiac Arrest Outcome Prediction
Siqi Li
Qiming Wu
Xin Li
Di Miao
Chuan Hong
...
Michael Hao Chen
Mengying Yan
Yilin Ning
M. Ong
Nan Liu
69
2
0
07 Oct 2024
Federated brain tumor segmentation: an extensive benchmark
Federated brain tumor segmentation: an extensive benchmark
Matthis Manthe
Stefan Duffner
Carole Lartizien
OODFedML
105
5
0
07 Oct 2024
DEPT: Decoupled Embeddings for Pre-training Language Models
DEPT: Decoupled Embeddings for Pre-training Language Models
Alex Iacob
Lorenzo Sani
Meghdad Kurmanji
William F. Shen
Xinchi Qiu
Dongqi Cai
Yan Gao
Nicholas D. Lane
VLM
656
1
0
07 Oct 2024
Federated Learning Nodes Can Reconstruct Peers' Image Data
Federated Learning Nodes Can Reconstruct Peers' Image Data
Ethan Wilson
Kai Yue
Chau-Wai Wong
H. Dai
FedML
97
1
0
07 Oct 2024
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models
Haokun Chen
Hang Li
Yao Zhang
Gengyuan Zhang
Jinhe Bi
Philip Torr
Philip Torr
Denis Krompass
Denis Krompass
Volker Tresp
142
3
0
07 Oct 2024
An Intelligent Native Network Slicing Security Architecture Empowered by
  Federated Learning
An Intelligent Native Network Slicing Security Architecture Empowered by Federated Learning
Rodrigo Moreira
R. Villaça
Moises R. N. Ribeiro
Joberto S. B. Martins
J. H. Corrêa
Tereza C. Carvalho
F. O. Silva
122
6
0
04 Oct 2024
A Federated Distributionally Robust Support Vector Machine with Mixture
  of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis
A Federated Distributionally Robust Support Vector Machine with Mixture of Wasserstein Balls Ambiguity Set for Distributed Fault Diagnosis
Michael Ibrahim
Heraldo Rozas
N. Gebraeel
Weijun Xie
FedMLOOD
74
0
0
04 Oct 2024
What Matters for Model Merging at Scale?
What Matters for Model Merging at Scale?
Prateek Yadav
Tu Vu
Jonathan Lai
Alexandra Chronopoulou
Manaal Faruqui
Joey Tianyi Zhou
Tsendsuren Munkhdalai
MoMe
107
22
0
04 Oct 2024
Deep Domain Isolation and Sample Clustered Federated Learning for
  Semantic Segmentation
Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation
Matthis Manthe
Carole Lartizien
Stefan Duffner
OODFedML
65
0
0
04 Oct 2024
Influence-oriented Personalized Federated Learning
Influence-oriented Personalized Federated Learning
Yue Tan
Guodong Long
Jing Jiang
Chengqi Zhang
FedML
80
0
0
04 Oct 2024
FedCert: Federated Accuracy Certification
FedCert: Federated Accuracy Certification
Minh Hieu Nguyen
Huu Tien Nguyen
Trung Thanh Nguyen
Manh Duong Nguyen
Trong Nghia Hoang
Truong Thao Nguyen
Phi Le Nguyen
FedML
79
0
0
04 Oct 2024
No Need to Talk: Asynchronous Mixture of Language Models
No Need to Talk: Asynchronous Mixture of Language Models
Anastasiia Filippova
Angelos Katharopoulos
David Grangier
Ronan Collobert
MoE
112
0
0
04 Oct 2024
Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical
  Federated Learning
Data Similarity-Based One-Shot Clustering for Multi-Task Hierarchical Federated Learning
Abdulmoneam Ali
A. Arafa
FedML
69
0
0
03 Oct 2024
Personalized Quantum Federated Learning for Privacy Image Classification
Personalized Quantum Federated Learning for Privacy Image Classification
Jinjing Shi
Tian Chen
Shichao Zhang
Xuelong Li
FedML
79
0
0
03 Oct 2024
Federated k-Core Decomposition: A Secure Distributed Approach
Federated k-Core Decomposition: A Secure Distributed Approach
Bin Guo
E. Sekerinski
Lingyang Chu
55
0
0
03 Oct 2024
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer
  Disentanglement via Conflicting Gradients
Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients
Minh Duong Nguyen
Khanh Le
Khoi Do
Nguyen H. Tran
Duc Nguyen
Chien Trinh
Zhaohui Yang
FedML
68
2
0
03 Oct 2024
Fair Decentralized Learning
Fair Decentralized Learning
Sayan Biswas
Anne-Marie Kermarrec
Rishi Sharma
Thibaud Trinca
M. Vos
FedML
186
0
0
03 Oct 2024
Clinnova Federated Learning Proof of Concept: Key Takeaways from a
  Cross-border Collaboration
Clinnova Federated Learning Proof of Concept: Key Takeaways from a Cross-border Collaboration
Julia Alekseenko
B. Stieltjes
Michael Bach
Melanie Boerries
Oliver Opitz
Alexandros Karargyris
N. Padoy
FedMLAI4CE
127
0
0
03 Oct 2024
FedScalar: A Communication efficient Federated Learning
FedScalar: A Communication efficient Federated Learning
M. Rostami
S. S. Kia
FedML
103
2
0
03 Oct 2024
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
Nurbek Tastan
Samuel Horváth
Martin Takáč
Karthik Nandakumar
FedML
142
0
0
03 Oct 2024
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security
Qianru Zhang
Peng Yang
Junliang Yu
Haixin Wang
Xingwei He
Siu-Ming Yiu
Hongzhi Yin
155
3
0
03 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in
  Federated Learning
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
Syed Irfan Ali Meerza
Jian-Dong Liu
83
2
0
02 Oct 2024
Addressing Data Heterogeneity in Federated Learning with Adaptive
  Normalization-Free Feature Recalibration
Addressing Data Heterogeneity in Federated Learning with Adaptive Normalization-Free Feature Recalibration
Vasilis Siomos
Sergio Naval Marimont
Jonathan Passerat-Palmbach
G. Tarroni
72
0
0
02 Oct 2024
Foldable SuperNets: Scalable Merging of Transformers with Different
  Initializations and Tasks
Foldable SuperNets: Scalable Merging of Transformers with Different Initializations and Tasks
Edan Kinderman
Itay Hubara
Haggai Maron
Daniel Soudry
MoMe
107
2
0
02 Oct 2024
On the Convergence of FedProx with Extrapolation and Inexact Prox
On the Convergence of FedProx with Extrapolation and Inexact Prox
Hanmin Li
Peter Richtárik
FedML
100
1
0
02 Oct 2024
Overpredictive Signal Analytics in Federated Learning: Algorithms and
  Analysis
Overpredictive Signal Analytics in Federated Learning: Algorithms and Analysis
Vijay Anavangot
FedML
49
0
0
02 Oct 2024
A Federated Learning Platform as a Service for Advancing Stroke
  Management in European Clinical Centers
A Federated Learning Platform as a Service for Advancing Stroke Management in European Clinical Centers
Diogo Reis Santos
Albert Sund Aillet
Antonio Boiano
Usevalad Milasheuski
Lorenzo Giusti
...
M. Nicoli
Michele Carminati
A. Redondi
S. Savazzi
Luigi Serio
29
2
0
02 Oct 2024
ParallelSFL: A Novel Split Federated Learning Framework Tackling
  Heterogeneity Issues
ParallelSFL: A Novel Split Federated Learning Framework Tackling Heterogeneity Issues
Yunming Liao
Yang Xu
Hongli Xu
Zhiwei Yao
Liusheng Huang
C. Qiao
FedML
81
9
0
02 Oct 2024
Debiasing Federated Learning with Correlated Client Participation
Debiasing Federated Learning with Correlated Client Participation
Zhenyu Sun
Ziyang Zhang
Zheng Xu
Gauri Joshi
Pranay Sharma
Ermin Wei
FedML
157
0
0
02 Oct 2024
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Selective Aggregation for Low-Rank Adaptation in Federated Learning
Pengxin Guo
Shuang Zeng
Y. Wang
Huijie Fan
Feifei Wang
Liangqiong Qu
FedML
168
22
0
02 Oct 2024
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
NTK-DFL: Enhancing Decentralized Federated Learning in Heterogeneous Settings via Neural Tangent Kernel
Gabriel Thompson
Kai Yue
Chau-Wai Wong
H. Dai
FedML
106
0
0
02 Oct 2024
FedPT: Federated Proxy-Tuning of Large Language Models on
  Resource-Constrained Edge Devices
FedPT: Federated Proxy-Tuning of Large Language Models on Resource-Constrained Edge Devices
Zhidong Gao
Yu Zhang
Zhenxiao Zhang
Yanmin Gong
Yuanxiong Guo
71
1
0
01 Oct 2024
Quantized and Asynchronous Federated Learning
Quantized and Asynchronous Federated Learning
Tomàs Ortega
Hamid Jafarkhani
FedML
82
1
0
30 Sep 2024
Fisher Information-based Efficient Curriculum Federated Learning with
  Large Language Models
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
Ji Liu
Jiaxiang Ren
Ruoming Jin
Zijie Zhang
Yang Zhou
P. Valduriez
Dejing Dou
FedML
104
6
0
30 Sep 2024
Fine-Tuning Personalization in Federated Learning to Mitigate
  Adversarial Clients
Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients
Youssef Allouah
Abdellah El Mrini
R. Guerraoui
Nirupam Gupta
Rafael Pinot
FedML
83
3
0
30 Sep 2024
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Federated Instruction Tuning of LLMs with Domain Coverage Augmentation
Zezhou Wang
Yaxin Du
Zhuzhong Qian
Yugang Jiang
Zhuzhong Qian
Siheng Chen
FedML
526
1
0
30 Sep 2024
Enhancing Security Using Random Binary Weights in Privacy-Preserving
  Federated Learning
Enhancing Security Using Random Binary Weights in Privacy-Preserving Federated Learning
Hiroto Sawada
Shoko Imaizumi
Hitoshi Kiya
FedMLAAML
63
0
0
30 Sep 2024
Leveraging Pre-trained Models for Robust Federated Learning for Kidney
  Stone Type Recognition
Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition
Iván Reyes-Amezcua
Michael Rojas-Ruiz
Gilberto Ochoa-Ruiz
Andres Mendez-Vazquez
Christian Daul
51
0
0
30 Sep 2024
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