Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1610.02527
Cited By
Federated Optimization: Distributed Machine Learning for On-Device Intelligence
8 October 2016
Jakub Konecný
H. B. McMahan
Daniel Ramage
Peter Richtárik
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Federated Optimization: Distributed Machine Learning for On-Device Intelligence"
50 / 733 papers shown
Title
Federated Evaluation and Tuning for On-Device Personalization: System Design & Applications
Matthias Paulik
M. Seigel
Henry Mason
Dominic Telaar
Joris Kluivers
...
Dominic Hughes
O. Javidbakht
Fei Dong
Rehan Rishi
Stanley Hung
FedML
183
126
0
16 Feb 2021
A Federated Data-Driven Evolutionary Algorithm
Jinjin Xu
Yaochu Jin
W. Du
Sai Gu
FedML
68
35
0
16 Feb 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients
A. Mitra
Rayana H. Jaafar
George J. Pappas
Hamed Hassani
FedML
55
157
0
14 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges
Ayodeji Oseni
Nour Moustafa
Helge Janicke
Peng Liu
Z. Tari
A. Vasilakos
AAML
34
48
0
09 Feb 2021
Adaptive Quantization of Model Updates for Communication-Efficient Federated Learning
Divyansh Jhunjhunwala
Advait Gadhikar
Gauri Joshi
Yonina C. Eldar
FedML
MQ
24
108
0
08 Feb 2021
Multi-Tier Federated Learning for Vertically Partitioned Data
Anirban Das
S. Patterson
FedML
21
16
0
06 Feb 2021
Federated Learning on the Road: Autonomous Controller Design for Connected and Autonomous Vehicles
Tengchan Zeng
Omid Semiariy
Mingzhe Chen
Walid Saad
M. Bennis
FedML
26
84
0
05 Feb 2021
Estimation of Microphone Clusters in Acoustic Sensor Networks using Unsupervised Federated Learning
Alexandru Nelus
Rene Glitza
Rainer Martin
21
6
0
05 Feb 2021
FEDZIP: A Compression Framework for Communication-Efficient Federated Learning
Amirhossein Malekijoo
Mohammad Javad Fadaeieslam
Hanieh Malekijou
Morteza Homayounfar
F. Alizadeh-Shabdiz
Reza Rawassizadeh
FedML
34
54
0
02 Feb 2021
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges
Zhaohua Zheng
Yize Zhou
Yilong Sun
Zhang Wang
Boyi Liu
Keqiu Li
28
102
0
02 Feb 2021
Gain without Pain: Offsetting DP-injected Nosies Stealthily in Cross-device Federated Learning
Wenzhuo Yang
Yipeng Zhou
Maio Hu
Di Wu
J. Zheng
Hui Wang
Song Guo
FedML
16
11
0
31 Jan 2021
Federated Multi-Armed Bandits
Chengshuai Shi
Cong Shen
FedML
63
92
0
28 Jan 2021
Auto-weighted Robust Federated Learning with Corrupted Data Sources
Shenghui Li
Edith C.H. Ngai
Fanghua Ye
Thiemo Voigt
FedML
27
28
0
14 Jan 2021
Personalized Federated Deep Learning for Pain Estimation From Face Images
Ognjen Rudovic
Nicolas Tobis
Sebastian Kaltwang
Björn Schuller
Daniel Rueckert
Jeffrey F. Cohn
Rosalind W. Picard
CVBM
FedML
17
24
0
12 Jan 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning
Milad Nasr
Shuang Song
Abhradeep Thakurta
Nicolas Papernot
Nicholas Carlini
MIACV
FedML
82
216
0
11 Jan 2021
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems
S. Savazzi
M. Nicoli
M. Bennis
Sanaz Kianoush
Luca Barbieri
FedML
AIFin
AI4CE
40
125
0
09 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey
S. Priya
Praveen Kumar
Viet Quoc Pham
K. Dev
Reddy Maddikunta
Thippa Reddy
Thien Huynh-The
AI4CE
33
192
0
04 Jan 2021
Federated Unlearning
Gaoyang Liu
Xiaoqiang Ma
Yang Yang
Chen Wang
Jiangchuan Liu
MU
43
53
0
27 Dec 2020
Comparison of Privacy-Preserving Distributed Deep Learning Methods in Healthcare
M. Gawali
S. ArvindC.
Shriya Suryavanshi
Harshit Madaan
A. Gaikwad
KN BhanuPrakash
V. Kulkarni
Aniruddha Pant
FedML
24
35
0
23 Dec 2020
Turn Signal Prediction: A Federated Learning Case Study
S. Doomra
Naman Kohli
Shounak Athavale
FedML
27
11
0
22 Dec 2020
Confronting Abusive Language Online: A Survey from the Ethical and Human Rights Perspective
S. Kiritchenko
I. Nejadgholi
Kathleen C. Fraser
AILaw
28
85
0
22 Dec 2020
Distributed Map Classification using Local Observations
Guangyi Liu
Arash A. Amini
Martin Takáč
Hector Muñoz-Avila
N. Motee
OffRL
11
1
0
18 Dec 2020
FedeRank: User Controlled Feedback with Federated Recommender Systems
Vito Walter Anelli
Yashar Deldjoo
Tommaso Di Noia
Antonio Ferrara
Fedelucio Narducci
FedML
11
42
0
15 Dec 2020
Cost-Effective Federated Learning Design
Bing Luo
Xiang Li
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
22
177
0
15 Dec 2020
DONE: Distributed Approximate Newton-type Method for Federated Edge Learning
Canh T. Dinh
N. H. Tran
Tuan Dung Nguyen
Wei Bao
A. R. Balef
B. Zhou
Albert Y. Zomaya
FedML
26
15
0
10 Dec 2020
Accurate and Fast Federated Learning via IID and Communication-Aware Grouping
Jin-Woo Lee
Jaehoon Oh
Yooju Shin
Jae-Gil Lee
Seyoul Yoon
FedML
80
16
0
09 Dec 2020
Design and Analysis of Uplink and Downlink Communications for Federated Learning
Sihui Zheng
Cong Shen
Xiang Chen
39
140
0
07 Dec 2020
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation
Lushan Song
Guopeng Lin
Jiaxuan Wang
Haoqi Wu
Wenqiang Ruan
Weili Han
34
9
0
06 Dec 2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits
Taehyeon Kim
Sangmin Bae
Jin-woo Lee
Se-Young Yun
FedML
29
15
0
06 Dec 2020
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
Jin-Woo Lee
Jaehoon Oh
Sungsu Lim
Se-Young Yun
Jae-Gil Lee
FedML
33
32
0
06 Dec 2020
Unleashing the Tiger: Inference Attacks on Split Learning
Dario Pasquini
G. Ateniese
M. Bernaschi
FedML
34
147
0
04 Dec 2020
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring
Gautham Krishna Gudur
S. K. Perepu
FedML
14
37
0
04 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications
Shuyan Hu
Xiaojing Chen
Wei Ni
Ekram Hossain
Xin Wang
AI4CE
50
111
0
02 Dec 2020
Blockchain Assisted Decentralized Federated Learning (BLADE-FL) with Lazy Clients
Jun Li
Yumeng Shao
Ming Ding
Chuan Ma
Kang Wei
Zhu Han
H. Vincent Poor
12
9
0
02 Dec 2020
Federated Marginal Personalization for ASR Rescoring
Zhe Liu
Fuchun Peng
24
1
0
01 Dec 2020
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy
B. Kim
Jose Dolz
Christian Desrosiers
Pierre-Marc Jodoin
MedIm
30
4
0
25 Nov 2020
Toward Multiple Federated Learning Services Resource Sharing in Mobile Edge Networks
Minh N. H. Nguyen
N. H. Tran
Y. Tun
Zhu Han
Choong Seon Hong
FedML
27
49
0
25 Nov 2020
Sparse sketches with small inversion bias
Michal Derezinski
Zhenyu Liao
Yan Sun
Michael W. Mahoney
23
21
0
21 Nov 2020
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach
Hang Liu
Xiaojun Yuan
Y. Zhang
19
125
0
20 Nov 2020
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
N. Truong
Kai Sun
Siyao Wang
Florian Guitton
Yike Guo
FedML
12
9
0
10 Nov 2020
Distributed Learning with Low Communication Cost via Gradient Boosting Untrained Neural Network
Xiatian Zhang
Xunshi He
Nan Wang
Rong Chen
FedML
AI4CE
15
0
0
10 Nov 2020
Mitigating Leakage in Federated Learning with Trusted Hardware
Javad Ghareh Chamani
D. Papadopoulos
FedML
6
11
0
10 Nov 2020
Interpretable collaborative data analysis on distributed data
A. Imakura
Hiroaki Inaba
Yukihiko Okada
Tetsuya Sakurai
FedML
19
26
0
09 Nov 2020
Adaptive Federated Dropout: Improving Communication Efficiency and Generalization for Federated Learning
Nader Bouacida
Jiahui Hou
H. Zang
Xin Liu
FedML
25
75
0
08 Nov 2020
Communication-efficient Decentralized Local SGD over Undirected Networks
Tiancheng Qin
S. Rasoul Etesami
César A. Uribe
FedML
19
14
0
06 Nov 2020
Resource-Constrained Federated Learning with Heterogeneous Labels and Models
Gautham Krishna Gudur
B. Balaji
S. K. Perepu
FedML
8
19
0
06 Nov 2020
Hogwild! over Distributed Local Data Sets with Linearly Increasing Mini-Batch Sizes
Marten van Dijk
Nhuong V. Nguyen
Toan N. Nguyen
Lam M. Nguyen
Quoc Tran-Dinh
Phuong Ha Nguyen
FedML
42
10
0
27 Oct 2020
FedE: Embedding Knowledge Graphs in Federated Setting
Mingyang Chen
Wen Zhang
Zonggang Yuan
Yantao Jia
Huajun Chen
FedML
16
76
0
24 Oct 2020
Throughput-Optimal Topology Design for Cross-Silo Federated Learning
Othmane Marfoq
Chuan Xu
Giovanni Neglia
Richard Vidal
FedML
67
85
0
23 Oct 2020
Hierarchical Federated Learning through LAN-WAN Orchestration
Jinliang Yuan
Mengwei Xu
Xiao Ma
Ao Zhou
Xuanzhe Liu
Shangguang Wang
FedML
22
38
0
22 Oct 2020
Previous
1
2
3
...
10
11
12
13
14
15
Next