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1602.05629
Cited By
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
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Papers citing
"Communication-Efficient Learning of Deep Networks from Decentralized Data"
50 / 2,584 papers shown
Title
Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing
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Fast Federated Learning in the Presence of Arbitrary Device Unavailability
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Kaixuan Huang
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Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
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Ramy E. Ali
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45
77
0
07 Jun 2021
FedNL: Making Newton-Type Methods Applicable to Federated Learning
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Peter Richtárik
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0
05 Jun 2021
SpreadGNN: Serverless Multi-task Federated Learning for Graph Neural Networks
Chaoyang He
Emir Ceyani
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FedML
25
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0
04 Jun 2021
NeuraCrypt: Hiding Private Health Data via Random Neural Networks for Public Training
Adam Yala
H. Esfahanizadeh
Rafael G. L. DÓliveira
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Vinod Vaikuntanathan
Regina Barzilay
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34
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0
04 Jun 2021
On the Strategyproofness of the Geometric Median
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Sadegh Farhadkhani
R. Guerraoui
L. Hoang
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35
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0
04 Jun 2021
Local Adaptivity in Federated Learning: Convergence and Consistency
Jianyu Wang
Zheng Xu
Zachary Garrett
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Luyang Liu
Gauri Joshi
FedML
37
39
0
04 Jun 2021
Federated Neural Collaborative Filtering
V. Perifanis
P. Efraimidis
FedML
21
92
0
02 Jun 2021
H-FL: A Hierarchical Communication-Efficient and Privacy-Protected Architecture for Federated Learning
He Yang
22
27
0
01 Jun 2021
Federated Estimation of Causal Effects from Observational Data
Thanh Vinh Vo
T. Hoang
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Tze-Yun Leong
FedML
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28
13
0
31 May 2021
Quantum Federated Learning with Quantum Data
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Walid Saad
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35
71
0
30 May 2021
PPT: A Privacy-Preserving Global Model Training Protocol for Federated Learning in P2P Networks
Qian Chen
Zilong Wang
Wenjing Zhang
Xiaodong Lin
FedML
33
17
0
30 May 2021
Federated Learning for Short-term Residential Load Forecasting
Christopher Briggs
Zhong Fan
Péter András
17
51
0
27 May 2021
Honest-but-Curious Nets: Sensitive Attributes of Private Inputs Can Be Secretly Coded into the Classifiers' Outputs
Mohammad Malekzadeh
Anastasia Borovykh
Deniz Gündüz
MIACV
29
42
0
25 May 2021
Federated Graph Learning -- A Position Paper
Hu Zhang
T. Shen
Fei Wu
Mingyang Yin
Hongxia Yang
Chao Wu
FedML
24
50
0
24 May 2021
Fed-NILM: A Federated Learning-based Non-Intrusive Load Monitoring Method for Privacy-Protection
Haijin Wang
Caomingzhe Si
Junhua Zhao
Guolong Liu
Fushuan Wen
21
25
0
24 May 2021
Denoising Noisy Neural Networks: A Bayesian Approach with Compensation
Yulin Shao
Soung Chang Liew
Deniz Gunduz
61
14
0
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Escaping Saddle Points with Compressed SGD
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G. Yaroslavtsev
24
4
0
21 May 2021
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
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Junyuan Hong
Jiayu Zhou
FedML
32
633
0
20 May 2021
Federated Learning With Highly Imbalanced Audio Data
Marc C. Green
Mark D. Plumbley
FedML
35
3
0
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Differentially Private Federated Knowledge Graphs Embedding
Hao Peng
Haoran Li
Yangqiu Song
V. Zheng
Jianxin Li
FedML
36
80
0
17 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies
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Shuai Zhang
FedML
32
46
0
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Node Selection Toward Faster Convergence for Federated Learning on Non-IID Data
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FedML
34
135
0
14 May 2021
Privacy-Preserving Constrained Domain Generalization via Gradient Alignment
Chris Xing Tian
Haoliang Li
Yufei Wang
Shiqi Wang
21
4
0
14 May 2021
OpenFL: An open-source framework for Federated Learning
G. A. Reina
Alexey Gruzdev
Patrick Foley
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Mansi Sharma
...
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Prakash Narayana Moorthy
Shih-Han Wang
Prashant Shah
Spyridon Bakas
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AIFin
28
107
0
13 May 2021
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
Yann Fraboni
Richard Vidal
Laetitia Kameni
Marco Lorenzi
FedML
21
184
0
12 May 2021
The Federated Tumor Segmentation (FeTS) Challenge
Sarthak Pati
Ujjwal Baid
M. Zenk
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Micah J. Sheller
...
Lena Maier-Hein
Jens Kleesiek
Bjoern H. Menze
Klaus Maier-Hein
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FedML
OOD
49
74
0
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A Survey on Reinforcement Learning-Aided Caching in Mobile Edge Networks
Nikolaos Nomikos
Spyros Zoupanos
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28
1
0
12 May 2021
FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis
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36
16
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27
19
0
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Efthymios Tzinis
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Zhepei Wang
Paris Smaragdis
FedML
32
19
0
11 May 2021
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates
Laizhong Cui
Xiaoxin Su
Yipeng Zhou
Yi Pan
FedML
38
36
0
10 May 2021
The Tags Are Alright: Robust Large-Scale RFID Clone Detection Through Federated Data-Augmented Radio Fingerprinting
Mauro Piva
G. Maselli
Francesco Restuccia
31
21
0
08 May 2021
Loss Tolerant Federated Learning
Pengyuan Zhou
Pei Fang
Pan Hui
29
16
0
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A Hybrid Architecture for Federated and Centralized Learning
Ahmet M. Elbir
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Symeon Chatzinotas
FedML
28
35
0
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FedGL: Federated Graph Learning Framework with Global Self-Supervision
Chuan Chen
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Ziyue Xu
Zibin Zheng
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27
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0
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Coded Gradient Aggregation: A Tradeoff Between Communication Costs at Edge Nodes and at Helper Nodes
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Anoop Thomas
28
9
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Membership Inference Attacks on Deep Regression Models for Neuroimaging
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Dmitris Stripelis
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Paul M. Thompson
J. Ambite
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29
32
0
06 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
Emna Baccour
N. Mhaisen
A. Abdellatif
A. Erbad
Amr M. Mohamed
Mounir Hamdi
Mohsen Guizani
37
87
0
04 May 2021
Federated Multi-View Learning for Private Medical Data Integration and Analysis
Sicong Che
Hao Peng
Lichao Sun
Yong Chen
Lifang He
FedML
63
40
0
04 May 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
Md. Abdullah Al Alamin
Gias Uddin
37
11
0
03 May 2021
AirMixML: Over-the-Air Data Mixup for Inherently Privacy-Preserving Edge Machine Learning
Yusuke Koda
Jihong Park
M. Bennis
Praneeth Vepakomma
Ramesh Raskar
39
10
0
02 May 2021
On In-network learning. A Comparative Study with Federated and Split Learning
Matei Moldoveanu
Milad Sefidgaran
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24
7
0
30 Apr 2021
Convergence Analysis and System Design for Federated Learning over Wireless Networks
Shuo Wan
Jiaxun Lu
Pingyi Fan
Yunfeng Shao
Chenghui Peng
Khaled B. Letaief
47
54
0
30 Apr 2021
Privacy-Preserving Federated Learning on Partitioned Attributes
Shuang Zhang
Liyao Xiang
Xi Yu
Pengzhi Chu
Yingqi Chen
Chen Cen
L. Wang
FedML
28
2
0
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From Distributed Machine Learning to Federated Learning: A Survey
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Jizhou Huang
Yang Zhou
Xuhong Li
Shilei Ji
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Dejing Dou
FedML
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56
244
0
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End-to-End Speech Recognition from Federated Acoustic Models
Yan Gao
Titouan Parcollet
Salah Zaiem
Javier Fernandez-Marques
Pedro Porto Buarque de Gusmão
Daniel J. Beutel
Nicholas D. Lane
28
43
0
29 Apr 2021
Multi-resource allocation for federated settings: A non-homogeneous Markov chain model
Syed Eqbal Alam
Fabian R. Wirth
Jia Yuan Yu
19
0
0
26 Apr 2021
Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jessie Hui Wang
Jun Zhang
FedML
46
39
0
26 Apr 2021
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