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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 / 2,616 papers shown
Title
Distributed Sparse Feature Selection in Communication-Restricted
  Networks
Distributed Sparse Feature Selection in Communication-Restricted Networks
Hanie Barghi
Amir Najafi
S. Motahari
21
2
0
02 Nov 2021
FedGraph: Federated Graph Learning with Intelligent Sampling
FedGraph: Federated Graph Learning with Intelligent Sampling
Fahao Chen
Peng Li
T. Miyazaki
Celimuge Wu
FedML
27
78
0
02 Nov 2021
Robust Federated Learning via Over-The-Air Computation
Robust Federated Learning via Over-The-Air Computation
Houssem Sifaou
Geoffrey Ye Li
FedML
30
18
0
01 Nov 2021
Resource-Efficient Federated Learning
Resource-Efficient Federated Learning
A. Abdelmoniem
Atal Narayan Sahu
Marco Canini
Suhaib A. Fahmy
FedML
43
55
0
01 Nov 2021
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge
  Devices
To Talk or to Work: Delay Efficient Federated Learning over Mobile Edge Devices
Pavana Prakash
Jiahao Ding
Maoqiang Wu
Minglei Shu
Rong Yu
Miao Pan
FedML
48
3
0
01 Nov 2021
DAdaQuant: Doubly-adaptive quantization for communication-efficient
  Federated Learning
DAdaQuant: Doubly-adaptive quantization for communication-efficient Federated Learning
Robert Hönig
Yiren Zhao
Robert D. Mullins
FedML
119
54
0
31 Oct 2021
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the
  Edge
BitTrain: Sparse Bitmap Compression for Memory-Efficient Training on the Edge
Abdelrahman I. Hosny
Marina Neseem
Sherief Reda
MQ
40
4
0
29 Oct 2021
Federated Semi-Supervised Learning with Class Distribution Mismatch
Federated Semi-Supervised Learning with Class Distribution Mismatch
Zhiguo Wang
Xintong Wang
Ruoyu Sun
Tsung-Hui Chang
FedML
41
12
0
29 Oct 2021
Improving Fairness via Federated Learning
Improving Fairness via Federated Learning
Yuchen Zeng
Hongxu Chen
Kangwook Lee
FedML
24
61
0
29 Oct 2021
DFL: High-Performance Blockchain-Based Federated Learning
DFL: High-Performance Blockchain-Based Federated Learning
Yongding Tian
Zhuoran Guo
Jiaxuan Zhang
Zaid Al-Ars
OOD
FedML
36
10
0
28 Oct 2021
Towards Model Agnostic Federated Learning Using Knowledge Distillation
Towards Model Agnostic Federated Learning Using Knowledge Distillation
A. Afonin
Sai Praneeth Karimireddy
FedML
35
45
0
28 Oct 2021
Computational Intelligence and Deep Learning for Next-Generation
  Edge-Enabled Industrial IoT
Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT
Shunpu Tang
Lunyuan Chen
Junjuan Xia
Lisheng Fan
A. Nallanathan
43
103
0
28 Oct 2021
What Do We Mean by Generalization in Federated Learning?
What Do We Mean by Generalization in Federated Learning?
Honglin Yuan
Warren Morningstar
Lin Ning
K. Singhal
OOD
FedML
46
71
0
27 Oct 2021
Differentially Private Federated Bayesian Optimization with Distributed
  Exploration
Differentially Private Federated Bayesian Optimization with Distributed Exploration
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
26
41
0
27 Oct 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in
  Federated Learning from a Client Perspective
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Jingwei Sun
Ang Li
Louis DiValentin
Amin Hassanzadeh
Yiran Chen
H. Li
FedML
OOD
AAML
36
77
0
26 Oct 2021
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in
  Machine Learning
SEDML: Securely and Efficiently Harnessing Distributed Knowledge in Machine Learning
Yansong Gao
Qun Li
Yifeng Zheng
Guohong Wang
Jiannan Wei
Mang Su
32
3
0
26 Oct 2021
Ensemble Federated Adversarial Training with Non-IID data
Ensemble Federated Adversarial Training with Non-IID data
Shuang Luo
Didi Zhu
Zexi Li
Chao-Xiang Wu
FedML
33
7
0
26 Oct 2021
Semi-Supervised Federated Learning with non-IID Data: Algorithm and
  System Design
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang
Shiyao Ma
Jiangtian Nie
Yi Wu
Qiang Yan
Xiaoke Xu
Dusit Niyato
FedML
21
16
0
26 Oct 2021
Robbing the Fed: Directly Obtaining Private Data in Federated Learning
  with Modified Models
Robbing the Fed: Directly Obtaining Private Data in Federated Learning with Modified Models
Liam H. Fowl
Jonas Geiping
W. Czaja
Micah Goldblum
Tom Goldstein
FedML
38
145
0
25 Oct 2021
Optimization-Based GenQSGD for Federated Edge Learning
Optimization-Based GenQSGD for Federated Edge Learning
Yangchen Li
Ying Cui
Vincent K. N. Lau
FedML
26
6
0
25 Oct 2021
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Game of Gradients: Mitigating Irrelevant Clients in Federated Learning
Lokesh Nagalapatti
Mahdi S. Hosseini
FedML
30
75
0
23 Oct 2021
Federated Learning over Wireless IoT Networks with Optimized
  Communication and Resources
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources
Student Member Ieee Hao Chen
Shaocheng Huang
Deyou Zhang
Ming Xiao
Fellow Ieee Mikael Skoglund
L. F. I. H. Vincent Poor
51
94
0
22 Oct 2021
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d.
  Environments
Bristle: Decentralized Federated Learning in Byzantine, Non-i.i.d. Environments
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
PipAttack: Poisoning Federated Recommender Systems forManipulating Item
  Promotion
PipAttack: Poisoning Federated Recommender Systems forManipulating Item Promotion
Shijie Zhang
Hongzhi Yin
Tong Chen
Zi Huang
Quoc Viet Hung Nguyen
Li-zhen Cui
FedML
AAML
24
96
0
21 Oct 2021
Privacy in Open Search: A Review of Challenges and Solutions
Privacy in Open Search: A Review of Challenges and Solutions
Samuel Sousa
Christian Guetl
Roman Kern
26
3
0
20 Oct 2021
A Federated Learning Aggregation Algorithm for Pervasive Computing:
  Evaluation and Comparison
A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison
Sannara Ek
François Portet
P. Lalanda
Germán Vega
FedML
39
106
0
19 Oct 2021
TESSERACT: Gradient Flip Score to Secure Federated Learning Against
  Model Poisoning Attacks
TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks
Atul Sharma
Wei Chen
Joshua C. Zhao
Qiang Qiu
Somali Chaterji
S. Bagchi
FedML
AAML
54
5
0
19 Oct 2021
FedHe: Heterogeneous Models and Communication-Efficient Federated
  Learning
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning
Chan Yun Hin
Edith C.H. Ngai
FedML
24
24
0
19 Oct 2021
FedParking: A Federated Learning based Parking Space Estimation with
  Parked Vehicle assisted Edge Computing
FedParking: A Federated Learning based Parking Space Estimation with Parked Vehicle assisted Edge Computing
Xumin Huang
Peichun Li
Rong Yu
Yuan Wu
Kan Xie
Shengli Xie
FedML
45
82
0
19 Oct 2021
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated
  Learning against Byzantine Attackers
BEV-SGD: Best Effort Voting SGD for Analog Aggregation Based Federated Learning against Byzantine Attackers
Xin-Yue Fan
Yue Wang
Yan Huo
Zhi Tian
FedML
27
23
0
18 Oct 2021
Towards Federated Bayesian Network Structure Learning with Continuous
  Optimization
Towards Federated Bayesian Network Structure Learning with Continuous Optimization
Ignavier Ng
Kun Zhang
FedML
52
38
0
18 Oct 2021
Towards General Deep Leakage in Federated Learning
Towards General Deep Leakage in Federated Learning
Jiahui Geng
Yongli Mou
Feifei Li
Qing Li
Oya Beyan
Stefan Decker
Chunming Rong
FedML
33
55
0
18 Oct 2021
DPNAS: Neural Architecture Search for Deep Learning with Differential
  Privacy
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy
Anda Cheng
Jiaxing Wang
Xi Sheryl Zhang
Qiang Chen
Peisong Wang
Jian Cheng
39
28
0
16 Oct 2021
Evaluation of Hyperparameter-Optimization Approaches in an Industrial
  Federated Learning System
Evaluation of Hyperparameter-Optimization Approaches in an Industrial Federated Learning System
Stephan Holly
Thomas Hiessl
Safoura Rezapour Lakani
Daniel Schall
C. Heitzinger
J. Kemnitz
FedML
56
17
0
15 Oct 2021
Trade-offs of Local SGD at Scale: An Empirical Study
Trade-offs of Local SGD at Scale: An Empirical Study
Jose Javier Gonzalez Ortiz
Jonathan Frankle
Michael G. Rabbat
Ari S. Morcos
Nicolas Ballas
FedML
43
19
0
15 Oct 2021
FedMe: Federated Learning via Model Exchange
FedMe: Federated Learning via Model Exchange
Koji Matsuda
Yuya Sasaki
Chuan Xiao
Makoto Onizuka
FedML
50
19
0
15 Oct 2021
Leveraging Spatial and Temporal Correlations in Sparsified Mean
  Estimation
Leveraging Spatial and Temporal Correlations in Sparsified Mean Estimation
Divyansh Jhunjhunwala
Ankur Mallick
Advait Gadhikar
S. Kadhe
Gauri Joshi
34
10
0
14 Oct 2021
Federated learning and next generation wireless communications: A survey
  on bidirectional relationship
Federated learning and next generation wireless communications: A survey on bidirectional relationship
Debaditya Shome
Omer Waqar
Wali Ullah Khan
46
31
0
14 Oct 2021
Resource-constrained Federated Edge Learning with Heterogeneous Data:
  Formulation and Analysis
Resource-constrained Federated Edge Learning with Heterogeneous Data: Formulation and Analysis
Yi Liu
Yuanshao Zhu
James J. Q. Yu
FedML
32
28
0
14 Oct 2021
WAFFLE: Weighted Averaging for Personalized Federated Learning
WAFFLE: Weighted Averaging for Personalized Federated Learning
Martin Beaussart
Felix Grimberg
Mary-Anne Hartley
Martin Jaggi
FedML
24
16
0
13 Oct 2021
Communication-Efficient Online Federated Learning Framework for
  Nonlinear Regression
Communication-Efficient Online Federated Learning Framework for Nonlinear Regression
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
23
20
0
13 Oct 2021
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based
  Vertical Federated Learning
Graph-Fraudster: Adversarial Attacks on Graph Neural Network Based Vertical Federated Learning
Jinyin Chen
Guohan Huang
Haibin Zheng
Shanqing Yu
Wenrong Jiang
Chen Cui
AAML
FedML
82
32
0
13 Oct 2021
Federated Natural Language Generation for Personalized Dialogue System
Federated Natural Language Generation for Personalized Dialogue System
Yujie Lu
Chao-Wei Huang
Huanli Zhan
Yong Zhuang
FedML
89
9
0
13 Oct 2021
Deep Federated Learning for Autonomous Driving
Deep Federated Learning for Autonomous Driving
A. Nguyen
Tuong Khanh Long Do
Minh-Ngoc Tran
Binh X. Nguyen
C. Duong
T. Phan
Erman Tjiputra
Quang-Dieu Tran
FedML
43
109
0
12 Oct 2021
ProgFed: Effective, Communication, and Computation Efficient Federated
  Learning by Progressive Training
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
Hui-Po Wang
Sebastian U. Stich
Yang He
Mario Fritz
FedML
AI4CE
38
48
0
11 Oct 2021
Dual Attention-Based Federated Learning for Wireless Traffic Prediction
Dual Attention-Based Federated Learning for Wireless Traffic Prediction
Chuanting Zhang
Shuping Dang
B. Shihada
Mohamed-Slim Alouini
28
85
0
11 Oct 2021
The Skellam Mechanism for Differentially Private Federated Learning
The Skellam Mechanism for Differentially Private Federated Learning
Naman Agarwal
Peter Kairouz
Ziyu Liu
FedML
27
122
0
11 Oct 2021
Deep learning-based person re-identification methods: A survey and
  outlook of recent works
Deep learning-based person re-identification methods: A survey and outlook of recent works
Zhang Ming
Min Zhu
Xiangkun Wang
Jiamin Zhu
Junlong Cheng
Chengrui Gao
Yong-Liang Yang
Xiaoyong Wei
53
95
0
10 Oct 2021
Exploring Heterogeneous Characteristics of Layers in ASR Models for More
  Efficient Training
Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training
Lillian Zhou
Dhruv Guliani
Andreas Kabel
Giovanni Motta
F. Beaufays
37
1
0
08 Oct 2021
RelaySum for Decentralized Deep Learning on Heterogeneous Data
RelaySum for Decentralized Deep Learning on Heterogeneous Data
Thijs Vogels
Lie He
Anastasia Koloskova
Tao R. Lin
Sai Praneeth Karimireddy
Sebastian U. Stich
Martin Jaggi
FedML
MoE
21
61
0
08 Oct 2021
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