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Towards Federated Learning at Scale: System Design

Towards Federated Learning at Scale: System Design

4 February 2019
Keith Bonawitz
Hubert Eichner
W. Grieskamp
Dzmitry Huba
A. Ingerman
Vladimir Ivanov
Chloé Kiddon
Jakub Konecný
S. Mazzocchi
H. B. McMahan
Timon Van Overveldt
David Petrou
Daniel Ramage
Jason Roselander
    FedML
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Papers citing "Towards Federated Learning at Scale: System Design"

50 / 443 papers shown
Title
FedBalancer: Data and Pace Control for Efficient Federated Learning on
  Heterogeneous Clients
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients
Jaemin Shin
Yuanchun Li
Yunxin Liu
Sung-Ju Lee
FedML
17
74
0
05 Jan 2022
Robust Convergence in Federated Learning through Label-wise Clustering
Robust Convergence in Federated Learning through Label-wise Clustering
Hunmin Lee
Yueyang Liu
Donghyun Kim
Yingshu Li
FedML
25
1
0
28 Dec 2021
Financial Vision Based Differential Privacy Applications
Financial Vision Based Differential Privacy Applications
Jun-Hao Chen
Yi-Jen Wang
Yun-Cheng Tsai
Samuel Yen-Chi Chen
FedML
21
1
0
28 Dec 2021
Wireless-Enabled Asynchronous Federated Fourier Neural Network for
  Turbulence Prediction in Urban Air Mobility (UAM)
Wireless-Enabled Asynchronous Federated Fourier Neural Network for Turbulence Prediction in Urban Air Mobility (UAM)
Tengchan Zeng
Omid Semiari
Walid Saad
M. Bennis
36
3
0
26 Dec 2021
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning
Sparsified Secure Aggregation for Privacy-Preserving Federated Learning
Irem Ergun
Hasin Us Sami
Başak Güler
FedML
41
26
0
23 Dec 2021
FedFR: Joint Optimization Federated Framework for Generic and
  Personalized Face Recognition
FedFR: Joint Optimization Federated Framework for Generic and Personalized Face Recognition
Chih-Ting Liu
Chien-Yi Wang
Shao-Yi Chien
S. Lai
FedML
19
36
0
23 Dec 2021
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social
  Influence
FedPOIRec: Privacy Preserving Federated POI Recommendation with Social Influence
V. Perifanis
George Drosatos
Giorgos Stamatelatos
P. Efraimidis
27
57
0
21 Dec 2021
Personalized On-Device E-health Analytics with Decentralized Block
  Coordinate Descent
Personalized On-Device E-health Analytics with Decentralized Block Coordinate Descent
Guanhua Ye
Hongzhi Yin
Tong Chen
Miao Xu
Quoc Viet Hung Nguyen
Jiangning Song
43
9
0
17 Dec 2021
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure
  Aggregation in Federated Learning
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning
Reent Schlegel
Siddhartha Kumar
E. Rosnes
Alexandre Graell i Amat
FedML
27
43
0
16 Dec 2021
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems
Martin Rapp
R. Khalili
Kilian Pfeiffer
J. Henkel
24
18
0
16 Dec 2021
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
Yi Zhou
Parikshit Ram
Theodoros Salonidis
Nathalie Baracaldo
Horst Samulowitz
Heiko Ludwig
AI4CE
37
25
0
15 Dec 2021
Survey of Generative Methods for Social Media Analysis
Survey of Generative Methods for Social Media Analysis
Stan Matwin
Aristides Milios
P. Prałat
Amílcar Soares
Franccois Théberge
27
3
0
13 Dec 2021
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with
  Sparsification
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification
Ashwinee Panda
Saeed Mahloujifar
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
FedML
AAML
17
85
0
12 Dec 2021
Asynchronous Semi-Decentralized Federated Edge Learning for
  Heterogeneous Clients
Asynchronous Semi-Decentralized Federated Edge Learning for Heterogeneous Clients
Yuchang Sun
Jiawei Shao
Yuyi Mao
Jun Zhang
FedML
30
9
0
09 Dec 2021
Mixing Deep Learning and Multiple Criteria Optimization: An Application
  to Distributed Learning with Multiple Datasets
Mixing Deep Learning and Multiple Criteria Optimization: An Application to Distributed Learning with Multiple Datasets
D. Torre
D. Liuzzi
M. Repetto
M. Rocca
35
1
0
02 Dec 2021
Efficient Federated Learning for AIoT Applications Using Knowledge
  Distillation
Efficient Federated Learning for AIoT Applications Using Knowledge Distillation
Tian Liu
Xian Wei
Jun Xia
Xin Fu
Ting Wang
Mingsong Chen
11
15
0
29 Nov 2021
FedDropoutAvg: Generalizable federated learning for histopathology image
  classification
FedDropoutAvg: Generalizable federated learning for histopathology image classification
G. N. Gunesli
M. Bilal
S. Raza
Nasir M. Rajpoot
FedML
OOD
27
20
0
25 Nov 2021
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and
  Applications
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications
Khaled B. Letaief
Yuanming Shi
Jianmin Lu
Jianhua Lu
45
417
0
24 Nov 2021
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in
  Artificial Intelligence
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence
Xiang Bai
Hanchen Wang
Liya Ma
Yongchao Xu
Jiefeng Gan
...
C. Zheng
Jianming Wang
Zhen Li
Carola-Bibiane Schönlieb
Tian Xia
FedML
32
62
0
18 Nov 2021
Papaya: Practical, Private, and Scalable Federated Learning
Papaya: Practical, Private, and Scalable Federated Learning
Dzmitry Huba
John Nguyen
Kshitiz Malik
Ruiyu Zhu
Michael G. Rabbat
...
H. Srinivas
Kaikai Wang
Anthony Shoumikhin
Jesik Min
Mani Malek
FedML
113
137
0
08 Nov 2021
Get a Model! Model Hijacking Attack Against Machine Learning Models
Get a Model! Model Hijacking Attack Against Machine Learning Models
A. Salem
Michael Backes
Yang Zhang
AAML
25
28
0
08 Nov 2021
DQRE-SCnet: A novel hybrid approach for selecting users in Federated
  Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering
Mohsen Ahmadi
Ali Taghavirashidizadeh
D. Javaheri
Armin Masoumian
Saeid Jafarzadeh Ghoushchi
Y. Pourasad
FedML
40
60
0
07 Nov 2021
Data Selection for Efficient Model Update in Federated Learning
Data Selection for Efficient Model Update in Federated Learning
Hongrui Shi
Valentin Radu
FedML
39
5
0
05 Nov 2021
FedLess: Secure and Scalable Federated Learning Using Serverless
  Computing
FedLess: Secure and Scalable Federated Learning Using Serverless Computing
Andreas Grafberger
Mohak Chadha
Anshul Jindal
Jianfeng Gu
Michael Gerndt
38
49
0
05 Nov 2021
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning
OnSlicing: Online End-to-End Network Slicing with Reinforcement Learning
Qiang Liu
Nakjung Choi
Tao Han
OffRL
32
29
0
02 Nov 2021
A Comparative Analysis of Machine Learning Algorithms for Intrusion
  Detection in Edge-Enabled IoT Networks
A Comparative Analysis of Machine Learning Algorithms for Intrusion Detection in Edge-Enabled IoT Networks
Poornima Mahadevappa
S. M. Muzammal
Rajamanickam Murugesan
11
4
0
02 Nov 2021
Resource-Efficient Federated Learning
Resource-Efficient Federated Learning
A. Abdelmoniem
Atal Narayan Sahu
Marco Canini
Suhaib A. Fahmy
FedML
34
55
0
01 Nov 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
42
94
0
22 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
105
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
19
24
0
19 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
23
84
0
11 Oct 2021
Federated Learning for Big Data: A Survey on Opportunities,
  Applications, and Future Directions
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu
Viet Quoc Pham
Thien Huynh-The
S. Bhattacharya
Praveen Kumar Reddy Maddikunta
Madhusanka Liyanage
FedML
AI4CE
55
39
0
08 Oct 2021
Enabling On-Device Training of Speech Recognition Models with Federated
  Dropout
Enabling On-Device Training of Speech Recognition Models with Federated Dropout
Dhruv Guliani
Lillian Zhou
Changwan Ryu
Tien-Ju Yang
Harry Zhang
Yong Xiao
F. Beaufays
Giovanni Motta
FedML
33
16
0
07 Oct 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from
  System Perspective
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective
Huan Zhang
Mi Zhang
Xin Liu
P. Mohapatra
Michael DeLucia
FedML
31
18
0
06 Oct 2021
Efficient and Private Federated Learning with Partially Trainable
  Networks
Efficient and Private Federated Learning with Partially Trainable Networks
Hakim Sidahmed
Zheng Xu
Ankush Garg
Yuan Cao
Mingqing Chen
FedML
49
13
0
06 Oct 2021
Learning, Computing, and Trustworthiness in Intelligent IoT
  Environments: Performance-Energy Tradeoffs
Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs
B. Soret
L. Nguyen
J. Seeger
Arne Bröring
Chaouki Ben Issaid
S. Samarakoon
Anis El Gabli
V. Kulkarni
M. Bennis
P. Popovski
31
13
0
04 Oct 2021
Towards General-purpose Infrastructure for Protecting Scientific Data
  Under Study
Towards General-purpose Infrastructure for Protecting Scientific Data Under Study
Andrew Trask
Kritika Prakash
46
3
0
04 Oct 2021
Lightweight Transformer in Federated Setting for Human Activity
  Recognition
Lightweight Transformer in Federated Setting for Human Activity Recognition
Ali Raza
K. Tran
L. Koehl
Shujun Li
Xianyi Zeng
Khaled Benzaidi
MedIm
25
10
0
01 Oct 2021
Secure Multi-Party Computation based Privacy Preserving Data Analysis in
  Healthcare IoT Systems
Secure Multi-Party Computation based Privacy Preserving Data Analysis in Healthcare IoT Systems
Kevser Sahinbas
Ferhat Ozgur Catak
30
11
0
29 Sep 2021
Smart at what cost? Characterising Mobile Deep Neural Networks in the
  wild
Smart at what cost? Characterising Mobile Deep Neural Networks in the wild
Mario Almeida
Stefanos Laskaridis
Abhinav Mehrotra
L. Dudziak
Ilias Leontiadis
Nicholas D. Lane
HAI
115
44
0
28 Sep 2021
Paving the Way for Distributed Artificial Intelligence over the Air
Paving the Way for Distributed Artificial Intelligence over the Air
Guoqing Ma
Shuping Dang
Chuanting Zhang
B. Shihada
27
3
0
24 Sep 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered
  Knowledge Transfer
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer
Yae Jee Cho
Jianyu Wang
Tarun Chiruvolu
Gauri Joshi
FedML
37
31
0
16 Sep 2021
Cost-Effective Federated Learning in Mobile Edge Networks
Cost-Effective Federated Learning in Mobile Edge Networks
Bing Luo
Xiang Li
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
57
73
0
12 Sep 2021
Iterated Vector Fields and Conservatism, with Applications to Federated
  Learning
Iterated Vector Fields and Conservatism, with Applications to Federated Learning
Zachary B. Charles
Keith Rush
27
6
0
08 Sep 2021
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo
  Federated Learning
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning
Zhifeng Jiang
Wen Wang
Yang Liu
FedML
32
49
0
02 Sep 2021
Federated Reinforcement Learning: Techniques, Applications, and Open
  Challenges
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges
Jiaju Qi
Qihao Zhou
Lei Lei
Kan Zheng
FedML
31
146
0
26 Aug 2021
Accelerating Federated Learning with a Global Biased Optimiser
Accelerating Federated Learning with a Global Biased Optimiser
Jed Mills
Jia Hu
Geyong Min
Rui Jin
Siwei Zheng
Jin Wang
FedML
AI4CE
34
9
0
20 Aug 2021
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split
  Learning
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning
Ege Erdogan
Alptekin Kupcu
A. E. Cicek
AAML
27
32
0
20 Aug 2021
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label
  Inference Attacks Against Split Learning
UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning
Ege Erdogan
Alptekin Kupcu
A. E. Cicek
FedML
MIACV
35
79
0
20 Aug 2021
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