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Federated Learning: Challenges, Methods, and Future Directions

Federated Learning: Challenges, Methods, and Future Directions

21 August 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
    FedML
ArXivPDFHTML

Papers citing "Federated Learning: Challenges, Methods, and Future Directions"

50 / 621 papers shown
Title
Comparative assessment of federated and centralized machine learning
Comparative assessment of federated and centralized machine learning
Ibrahim Abdul Majeed
Sagar Kaushik
Aniruddha Bardhan
Venkata Siva Kumar Tadi
Hwang-Ki Min
K. Kumaraguru
Rajasekhara Reddy Duvvuru Muni
FedML
28
6
0
03 Feb 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary
  Adaptive Online Model Pruning
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
FedML
32
6
0
27 Jan 2022
A dual approach for federated learning
A dual approach for federated learning
Zhenan Fan
Huang Fang
M. Friedlander
FedML
18
3
0
26 Jan 2022
Speeding up Heterogeneous Federated Learning with Sequentially Trained
  Superclients
Speeding up Heterogeneous Federated Learning with Sequentially Trained Superclients
Riccardo Zaccone
Andrea Rizzardi
Debora Caldarola
Marco Ciccone
Barbara Caputo
FedML
58
14
0
26 Jan 2022
DEFER: Distributed Edge Inference for Deep Neural Networks
DEFER: Distributed Edge Inference for Deep Neural Networks
Arjun Parthasarathy
Bhaskar Krishnamachari
16
14
0
18 Jan 2022
When Machine Learning Meets Spectrum Sharing Security: Methodologies and
  Challenges
When Machine Learning Meets Spectrum Sharing Security: Methodologies and Challenges
Qun Wang
Haijian Sun
R. Hu
Arupjyoti Bhuyan
23
23
0
12 Jan 2022
Fusing Blockchain and AI with Metaverse: A Survey
Fusing Blockchain and AI with Metaverse: A Survey
Qinglin Yang
Yetong Zhao
Huawei Huang
Zehui Xiong
Jiawen Kang
Zibin Zheng
35
311
0
10 Jan 2022
Challenges and Approaches for Mitigating Byzantine Attacks in Federated
  Learning
Challenges and Approaches for Mitigating Byzantine Attacks in Federated Learning
Junyu Shi
Wei Wan
Shengshan Hu
Jianrong Lu
L. Zhang
AAML
34
74
0
29 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
19
18
0
16 Dec 2021
Analysis and Evaluation of Synchronous and Asynchronous FLchain
Analysis and Evaluation of Synchronous and Asynchronous FLchain
F. Wilhelmi
L. Giupponi
Paolo Dini
23
5
0
15 Dec 2021
AI Ethics Principles in Practice: Perspectives of Designers and
  Developers
AI Ethics Principles in Practice: Perspectives of Designers and Developers
Conrad Sanderson
David M. Douglas
Qinghua Lu
Emma Schleiger
Jon Whittle
J. Lacey
G. Newnham
S. Hajkowicz
Cathy J. Robinson
David Hansen
FaML
31
46
0
14 Dec 2021
Improving Performance of Federated Learning based Medical Image Analysis
  in Non-IID Settings using Image Augmentation
Improving Performance of Federated Learning based Medical Image Analysis in Non-IID Settings using Image Augmentation
Alper Cetinkaya
M. Akin
Ş. Sağiroğlu
OOD
FedML
27
16
0
12 Dec 2021
Communication-Efficient Federated Learning for Neural Machine
  Translation
Communication-Efficient Federated Learning for Neural Machine Translation
Tanya Roosta
Peyman Passban
Ankit R. Chadha
FedML
AI4CE
19
5
0
12 Dec 2021
Specificity-Preserving Federated Learning for MR Image Reconstruction
Specificity-Preserving Federated Learning for MR Image Reconstruction
Chun-Mei Feng
Yu-bao Yan
Shanshan Wang
Yong Xu
Ling Shao
Huazhu Fu
OOD
43
78
0
09 Dec 2021
On Convergence of Federated Averaging Langevin Dynamics
On Convergence of Federated Averaging Langevin Dynamics
Wei Deng
Qian Zhang
Yi Ma
Zhao Song
Guang Lin
FedML
30
16
0
09 Dec 2021
Personalized Federated Learning of Driver Prediction Models for
  Autonomous Driving
Personalized Federated Learning of Driver Prediction Models for Autonomous Driving
Manabu Nakanoya
Junha Im
Hang Qiu
Sachin Katti
Marco Pavone
Sandeep P. Chinchali
FedML
27
11
0
02 Dec 2021
Fed2: Feature-Aligned Federated Learning
Fed2: Feature-Aligned Federated Learning
Fuxun Yu
Weishan Zhang
Zhuwei Qin
Zirui Xu
Di Wang
Chenchen Liu
Zhi Tian
Xiang Chen
FedML
28
74
0
28 Nov 2021
Resource-Aware Asynchronous Online Federated Learning for Nonlinear
  Regression
Resource-Aware Asynchronous Online Federated Learning for Nonlinear Regression
François Gauthier
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
FedML
16
9
0
27 Nov 2021
Non-IID data and Continual Learning processes in Federated Learning: A
  long road ahead
Non-IID data and Continual Learning processes in Federated Learning: A long road ahead
Marcos F. Criado
F. Casado
R. Iglesias
Carlos V. Regueiro
S. Barro
FedML
36
76
0
26 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
22
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
43
417
0
24 Nov 2021
Hierarchical Federated Learning based Anomaly Detection using Digital
  Twins for Smart Healthcare
Hierarchical Federated Learning based Anomaly Detection using Digital Twins for Smart Healthcare
Deepti Gupta
O. Kayode
Smriti Bhatt
Maanak Gupta
A. Tosun
21
68
0
24 Nov 2021
Personalized Federated Learning through Local Memorization
Personalized Federated Learning through Local Memorization
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
32
87
0
17 Nov 2021
Privacy-preserving Federated Learning for Residential Short Term Load
  Forecasting
Privacy-preserving Federated Learning for Residential Short Term Load Forecasting
Joaquín Delgado Fernández
Sergio Potenciano Menci
Chul Min Lee
Gilbert Fridgen
33
53
0
17 Nov 2021
Towards Integrative Multi-Modal Personal Health Navigation Systems:
  Framework and Application
Towards Integrative Multi-Modal Personal Health Navigation Systems: Framework and Application
Nitish Nag
Hyungik Oh
Mengfan Tang
Mingshu Shi
Ramesh C. Jain
23
2
0
16 Nov 2021
On the Tradeoff between Energy, Precision, and Accuracy in Federated
  Quantized Neural Networks
On the Tradeoff between Energy, Precision, and Accuracy in Federated Quantized Neural Networks
Minsu Kim
Walid Saad
Mohammad Mozaffari
Merouane Debbah
FedML
MQ
19
23
0
15 Nov 2021
DNN gradient lossless compression: Can GenNorm be the answer?
DNN gradient lossless compression: Can GenNorm be the answer?
Zhongzhu Chen
Eduin E. Hernandez
Yu-Chih Huang
Stefano Rini
33
9
0
15 Nov 2021
Federated Learning for Internet of Things: Applications, Challenges, and
  Opportunities
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities
Tuo Zhang
Lei Gao
Chaoyang He
Mi Zhang
Bhaskar Krishnamachari
Salman Avestimehr
FedML
19
168
0
15 Nov 2021
Fairness, Integrity, and Privacy in a Scalable Blockchain-based
  Federated Learning System
Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System
Timon Rückel
Johannes Sedlmeir
Peter Hofmann
FedML
19
58
0
11 Nov 2021
Linear Speedup in Personalized Collaborative Learning
Linear Speedup in Personalized Collaborative Learning
El Mahdi Chayti
Sai Praneeth Karimireddy
Sebastian U. Stich
Nicolas Flammarion
Martin Jaggi
FedML
21
13
0
10 Nov 2021
Machine Learning for Multimodal Electronic Health Records-based
  Research: Challenges and Perspectives
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives
Ziyi Liu
Jiaqi Zhang
Yongshuai Hou
Xinran Zhang
Ge Li
Yang Xiang
19
14
0
09 Nov 2021
ARFED: Attack-Resistant Federated averaging based on outlier elimination
ARFED: Attack-Resistant Federated averaging based on outlier elimination
Ece Isik Polat
Gorkem Polat
Altan Koçyiğit
AAML
FedML
41
10
0
08 Nov 2021
Privacy attacks for automatic speech recognition acoustic models in a
  federated learning framework
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework
N. Tomashenko
Salima Mdhaffar
Marc Tommasi
Yannick Esteve
J. Bonastre
35
25
0
06 Nov 2021
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning
  for Network Intrusion Detection
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
Mohanad Sarhan
S. Layeghy
Nour Moustafa
Marius Portmann
FedML
17
72
0
04 Nov 2021
Towards Fairness-Aware Federated Learning
Towards Fairness-Aware Federated Learning
Yuxin Shi
Han Yu
Cyril Leung
FedML
21
79
0
02 Nov 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
33
12
0
29 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
41
71
0
27 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
Acceleration in Distributed Optimization under Similarity
Acceleration in Distributed Optimization under Similarity
Helena Lofstrom
G. Scutari
Tianyue Cao
Alexander Gasnikov
27
26
0
24 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
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
Towards Federated Bayesian Network Structure Learning with Continuous
  Optimization
Towards Federated Bayesian Network Structure Learning with Continuous Optimization
Ignavier Ng
Kun Zhang
FedML
47
38
0
18 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
21
20
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
36
109
0
12 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
50
39
0
08 Oct 2021
Towards Federated Learning-Enabled Visible Light Communication in 6G
  Systems
Towards Federated Learning-Enabled Visible Light Communication in 6G Systems
Shimaa A. Naser
Lina Bariah
Sami Muhaidat
Mahmoud Al-Qutayri
Ernesto Damiani
Merouane Debbah
P. C. Sofotasios
19
23
0
07 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
Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized
  Collaboration in an Automated Way
Dr.Aid: Supporting Data-governance Rule Compliance for Decentralized Collaboration in an Automated Way
Rui Zhao
M. Atkinson
P. Papapanagiotou
F. Magnoni
Jacques D. Fleuriot
19
3
0
03 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
19
10
0
01 Oct 2021
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