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Communication-Efficient Learning of Deep Networks from Decentralized
  Data

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
ArXivPDFHTML

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

50 / 2,555 papers shown
Title
Federated Multi-Agent Mapping for Planetary Exploration
Federated Multi-Agent Mapping for Planetary Exploration
Tiberiu-Ioan Szatmari
Abhishek Cauligi
FedML
AI4CE
47
0
0
02 Apr 2024
Poisoning Decentralized Collaborative Recommender System and Its
  Countermeasures
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
Ruiqi Zheng
Liang Qu
Tong Chen
Kai Zheng
Yuhui Shi
Hongzhi Yin
31
7
0
01 Apr 2024
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through
  Convergence-Aware Sampling with Screening
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening
Hei Yi Mak
Flint Xiaofeng Fan
Luca A. Lanzendörfer
Cheston Tan
Wei Tsang Ooi
Roger Wattenhofer
FedML
34
2
0
29 Mar 2024
Generalized Policy Learning for Smart Grids: FL TRPO Approach
Generalized Policy Learning for Smart Grids: FL TRPO Approach
Yunxiang Li
Nicolas Mauricio Cuadrado
Samuel Horváth
Martin Takáč
30
0
0
27 Mar 2024
SignSGD with Federated Voting
SignSGD with Federated Voting
Chanho Park
H. Vincent Poor
Namyoon Lee
FedML
42
1
0
25 Mar 2024
Efficiently Assemble Normalization Layers and Regularization for
  Federated Domain Generalization
Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization
Khiem Le-Huy
Long Ho
Cuong D. Do
Danh Le-Phuoc
Kok-Seng Wong
OOD
FedML
47
3
0
22 Mar 2024
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
FedSPU: Personalized Federated Learning for Resource-constrained Devices with Stochastic Parameter Update
Ziru Niu
Hai Dong
•. A. K. Qin
47
2
0
18 Mar 2024
FAGH: Accelerating Federated Learning with Approximated Global Hessian
FAGH: Accelerating Federated Learning with Approximated Global Hessian
Mrinmay Sen
A. K. Qin
Krishna Mohan
FedML
37
0
0
16 Mar 2024
FedQNN: Federated Learning using Quantum Neural Networks
FedQNN: Federated Learning using Quantum Neural Networks
Nouhaila Innan
Muhammad Al-Zafar Khan
Alberto Marchisio
Mohamed Bennai
Muhammad Shafique
FedML
39
13
0
16 Mar 2024
Metadata-Driven Federated Learning of Connectional Brain Templates in
  Non-IID Multi-Domain Scenarios
Metadata-Driven Federated Learning of Connectional Brain Templates in Non-IID Multi-Domain Scenarios
Geng Chen
Qingyue Wang
I. Rekik
41
0
0
14 Mar 2024
Taming Cross-Domain Representation Variance in Federated Prototype
  Learning with Heterogeneous Data Domains
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
Lei Wang
Jieming Bian
Letian Zhang
Chong Chen
Jie Xu
42
7
0
14 Mar 2024
Simple and Scalable Strategies to Continually Pre-train Large Language
  Models
Simple and Scalable Strategies to Continually Pre-train Large Language Models
Adam Ibrahim
Benjamin Thérien
Kshitij Gupta
Mats L. Richter
Quentin Anthony
Timothée Lesort
Eugene Belilovsky
Irina Rish
KELM
CLL
49
54
0
13 Mar 2024
DAM: Dynamic Adapter Merging for Continual Video QA Learning
DAM: Dynamic Adapter Merging for Continual Video QA Learning
Feng Cheng
Ziyang Wang
Yi-Lin Sung
Yan-Bo Lin
Mohit Bansal
Gedas Bertasius
CLL
MoMe
44
10
0
13 Mar 2024
Measuring Data Similarity for Efficient Federated Learning: A
  Feasibility Study
Measuring Data Similarity for Efficient Federated Learning: A Feasibility Study
Fernanda Famá
Charalampos Kalalas
Sandra Lagen
Paolo Dini
FedML
30
3
0
12 Mar 2024
Analysis of Total Variation Minimization for Clustered Federated
  Learning
Analysis of Total Variation Minimization for Clustered Federated Learning
Alexander Jung
18
2
0
10 Mar 2024
Tune without Validation: Searching for Learning Rate and Weight Decay on
  Training Sets
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets
Lorenzo Brigato
Stavroula Mougiakakou
50
0
0
08 Mar 2024
Federated Joint Learning of Robot Networks in Stroke Rehabilitation
Federated Joint Learning of Robot Networks in Stroke Rehabilitation
Xinyu Jiang
Yibei Guo
Mengsha Hu
Ruoming Jin
Hai Phan
Jay Alberts
Rui Liu
16
0
0
08 Mar 2024
A Survey of Graph Neural Networks in Real world: Imbalance, Noise,
  Privacy and OOD Challenges
A Survey of Graph Neural Networks in Real world: Imbalance, Noise, Privacy and OOD Challenges
Wei Ju
Siyu Yi
Yifan Wang
Zhiping Xiao
Zhengyan Mao
...
Senzhang Wang
Xinwang Liu
Xiao Luo
Philip S. Yu
Ming Zhang
AI4CE
43
36
0
07 Mar 2024
HeteroSwitch: Characterizing and Taming System-Induced Data
  Heterogeneity in Federated Learning
HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning
Gyudong Kim
Mehdi Ghasemi
Soroush Heidari
Seungryong Kim
Young Geun Kim
S. Vrudhula
Carole-Jean Wu
39
1
0
07 Mar 2024
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of
  Negative Federated Learning
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
Hong Lin
Lidan Shou
Ke Chen
Gang Chen
Sai Wu
32
0
0
07 Mar 2024
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
LoCoDL: Communication-Efficient Distributed Learning with Local Training and Compression
Laurent Condat
Artavazd Maranjyan
Peter Richtárik
54
4
0
07 Mar 2024
Membership Information Leakage in Federated Contrastive Learning
Membership Information Leakage in Federated Contrastive Learning
Kongyang Chen
Wenfeng Wang
Zixin Wang
Wangjun Zhang
Zhipeng Li
Yao Huang
FedML
40
1
0
06 Mar 2024
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Do You Trust Your Model? Emerging Malware Threats in the Deep Learning Ecosystem
Dorjan Hitaj
Giulio Pagnotta
Fabio De Gaspari
Sediola Ruko
Briland Hitaj
Luigi V. Mancini
Fernando Perez-Cruz
47
4
0
06 Mar 2024
Leveraging Federated Learning for Automatic Detection of Clopidogrel
  Treatment Failures
Leveraging Federated Learning for Automatic Detection of Clopidogrel Treatment Failures
Samuel Kim
Min Sang Kim
FedML
30
0
0
05 Mar 2024
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive
  Models
FLGuard: Byzantine-Robust Federated Learning via Ensemble of Contrastive Models
Younghan Lee
Yungi Cho
Woorim Han
Ho Bae
Y. Paek
FedML
AAML
32
2
0
05 Mar 2024
Federated Learning over Connected Modes
Federated Learning over Connected Modes
Dennis Grinwald
Philipp Wiesner
Shinichi Nakajima
FedML
50
0
0
05 Mar 2024
Analysis of Privacy Leakage in Federated Large Language Models
Analysis of Privacy Leakage in Federated Large Language Models
Minh Nhat Vu
Truc D. T. Nguyen
Tre' R. Jeter
My T. Thai
47
6
0
02 Mar 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated
  Learning
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning
Hongxia Li
Wei Huang
Jingya Wang
Ye-ling Shi
FedML
VLM
50
19
0
29 Feb 2024
RobWE: Robust Watermark Embedding for Personalized Federated Learning
  Model Ownership Protection
RobWE: Robust Watermark Embedding for Personalized Federated Learning Model Ownership Protection
Yang Xu
Yunlin Tan
Cheng Zhang
Kai Chi
Peng Sun
Wenyuan Yang
Ju Ren
Hongbo Jiang
Yaoxue Zhang
FedML
65
3
0
29 Feb 2024
Impact of network topology on the performance of Decentralized Federated
  Learning
Impact of network topology on the performance of Decentralized Federated Learning
Luigi Palmieri
Chiara Boldrini
Lorenzo Valerio
A. Passarella
M. Conti
46
6
0
28 Feb 2024
On the Inductive Biases of Demographic Parity-based Fair Learning
  Algorithms
On the Inductive Biases of Demographic Parity-based Fair Learning Algorithms
Haoyu Lei
Amin Gohari
Farzan Farnia
FaML
37
1
0
28 Feb 2024
Federated Learning for Estimating Heterogeneous Treatment Effects
Federated Learning for Estimating Heterogeneous Treatment Effects
Disha Makhija
Joydeep Ghosh
Yejin Kim
CML
FedML
50
2
0
27 Feb 2024
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
FedUV: Uniformity and Variance for Heterogeneous Federated Learning
Ha Min Son
M. Kim
Tai-Myung Chung
Chao Huang
Xin Liu
FedML
45
3
0
27 Feb 2024
FedReview: A Review Mechanism for Rejecting Poisoned Updates in
  Federated Learning
FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning
Tianhang Zheng
Baochun Li
FedML
AAML
34
0
0
26 Feb 2024
Multiple Access in the Era of Distributed Computing and Edge
  Intelligence
Multiple Access in the Era of Distributed Computing and Edge Intelligence
Nikos G. Evgenidis
Nikos A. Mitsiou
Vasiliki I. Koutsioumpa
Sotiris A. Tegos
P. Diamantoulakis
G. Karagiannidis
46
8
0
26 Feb 2024
Watch Your Head: Assembling Projection Heads to Save the Reliability of
  Federated Models
Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models
Jinqian Chen
Jihua Zhu
Qinghai Zheng
Zhongyu Li
Zhiqiang Tian
FedML
39
3
0
26 Feb 2024
Bayesian Neural Network For Personalized Federated Learning Parameter
  Selection
Bayesian Neural Network For Personalized Federated Learning Parameter Selection
Mengen Luo
E. Kuruoglu
FedML
45
0
0
25 Feb 2024
ESFL: Efficient Split Federated Learning over Resource-Constrained
  Heterogeneous Wireless Devices
ESFL: Efficient Split Federated Learning over Resource-Constrained Heterogeneous Wireless Devices
Guangyu Zhu
Yiqin Deng
Xianhao Chen
Haixia Zhang
Yuguang Fang
Tan F. Wong
FedML
27
6
0
24 Feb 2024
Federated Learning on Transcriptomic Data: Model Quality and Performance
  Trade-Offs
Federated Learning on Transcriptomic Data: Model Quality and Performance Trade-Offs
Anika Hannemann
Jan Ewald
Leo Seeger
Erik Buchmann
FedML
39
2
0
22 Feb 2024
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
Yongcun Song
Ziqi Wang
Enrique Zuazua
FedML
37
2
0
21 Feb 2024
Stochastic Approximation Approach to Federated Machine Learning
Stochastic Approximation Approach to Federated Machine Learning
P. V. Srihari
B. Bhikkaji
FedML
32
0
0
20 Feb 2024
Fog enabled distributed training architecture for federated learning
Fog enabled distributed training architecture for federated learning
Aditya Kumar
S. Srirama
29
1
0
20 Feb 2024
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
ADEPT: Hierarchical Bayes Approach to Personalized Federated Unsupervised Learning
Kaan Ozkara
Bruce Huang
Ruida Zhou
Suhas Diggavi
89
0
0
19 Feb 2024
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid
  Federated Approach
Heterogeneity-aware Cross-school Electives Recommendation: a Hybrid Federated Approach
Chengyi Ju
Jiannong Cao
Yu Yang
Zhen-Qun Yang
Ho Man Lee
18
0
0
19 Feb 2024
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching
Energy-Efficient Edge Learning via Joint Data Deepening-and-Prefetching
Sujin Kook
Won-Yong Shin
Seong-Lyun Kim
Seung-Woo Ko
34
1
0
19 Feb 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
62
1
0
19 Feb 2024
Smart Information Exchange for Unsupervised Federated Learning via
  Reinforcement Learning
Smart Information Exchange for Unsupervised Federated Learning via Reinforcement Learning
Seohyun Lee
Anindya Bijoy Das
Satyavrat Wagle
Christopher G. Brinton
FedML
30
0
0
15 Feb 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
Data Reconstruction Attacks and Defenses: A Systematic Evaluation
Sheng Liu
Zihan Wang
Yuxiao Chen
Qi Lei
AAML
MIACV
61
4
0
13 Feb 2024
Towards Meta-Pruning via Optimal Transport
Towards Meta-Pruning via Optimal Transport
Alexander Theus
Olin Geimer
Friedrich Wicke
Thomas Hofmann
Sotiris Anagnostidis
Sidak Pal Singh
MoMe
26
3
0
12 Feb 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang
Yonggang Zhang
Shaoshuai Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xuming Hu
FedML
31
13
0
10 Feb 2024
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