Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1908.07873
Cited By
Federated Learning: Challenges, Methods, and Future Directions
21 August 2019
Tian Li
Anit Kumar Sahu
Ameet Talwalkar
Virginia Smith
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Federated Learning: Challenges, Methods, and Future Directions"
50 / 621 papers shown
Title
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
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Wenbo Ding
FedML
32
6
0
27 Jan 2022
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
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
Arjun Parthasarathy
Bhaskar Krishnamachari
16
14
0
18 Jan 2022
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
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
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
Martin Rapp
R. Khalili
Kilian Pfeiffer
J. Henkel
19
18
0
16 Dec 2021
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
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
Alper Cetinkaya
M. Akin
Ş. Sağiroğlu
OOD
FedML
27
16
0
12 Dec 2021
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
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
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
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
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
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
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
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
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
Deepti Gupta
O. Kayode
Smriti Bhatt
Maanak Gupta
A. Tosun
21
68
0
24 Nov 2021
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
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
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
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?
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
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
Timon Rückel
Johannes Sedlmeir
Peter Hofmann
FedML
19
58
0
11 Nov 2021
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
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
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
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
Mohanad Sarhan
S. Layeghy
Nour Moustafa
Marius Portmann
FedML
17
72
0
04 Nov 2021
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
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?
Honglin Yuan
Warren Morningstar
Lin Ning
K. Singhal
OOD
FedML
41
71
0
27 Oct 2021
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
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
Joost Verbraeken
M. Vos
J. Pouwelse
31
4
0
21 Oct 2021
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
Ignavier Ng
Kun Zhang
FedML
47
38
0
18 Oct 2021
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
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
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
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
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
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
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
Ali Raza
K. Tran
L. Koehl
Shujun Li
Xianyi Zeng
Khaled Benzaidi
MedIm
19
10
0
01 Oct 2021
Previous
1
2
3
...
7
8
9
...
11
12
13
Next