ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.07873
  4. Cited By
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
Client Selection and Bandwidth Allocation for Federated Learning: An
  Online Optimization Perspective
Client Selection and Bandwidth Allocation for Federated Learning: An Online Optimization Perspective
Yun-Gyu Ji
Zhoubin Kou
Xiaoxiong Zhong
Shenmin Zhang
Hang Li
Fan Yang
11
12
0
10 May 2022
Federated Multi-Armed Bandits Under Byzantine Attacks
Federated Multi-Armed Bandits Under Byzantine Attacks
Artun Saday
Ilker Demirel
Yiğit Yıldırım
Cem Tekin
AAML
34
13
0
09 May 2022
Decentral and Incentivized Federated Learning Frameworks: A Systematic
  Literature Review
Decentral and Incentivized Federated Learning Frameworks: A Systematic Literature Review
Leon Witt
Mathis Heyer
Kentaroh Toyoda
Wojciech Samek
Dan Li
FedML
33
47
0
07 May 2022
Communication-Efficient Adaptive Federated Learning
Communication-Efficient Adaptive Federated Learning
Yujia Wang
Lu Lin
Jinghui Chen
FedML
27
71
0
05 May 2022
Training Mixed-Domain Translation Models via Federated Learning
Training Mixed-Domain Translation Models via Federated Learning
Peyman Passban
Tanya Roosta
Rahul Gupta
Ankit R. Chadha
Clement Chung
FedML
AI4CE
26
18
0
03 May 2022
FedGiA: An Efficient Hybrid Algorithm for Federated Learning
FedGiA: An Efficient Hybrid Algorithm for Federated Learning
Shenglong Zhou
Geoffrey Ye Li
FedML
31
16
0
03 May 2022
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
FedRN: Exploiting k-Reliable Neighbors Towards Robust Federated Learning
Sangmook Kim
Wonyoung Shin
Soohyuk Jang
Hwanjun Song
Se-Young Yun
37
2
0
03 May 2022
Privacy Sensitive Speech Analysis Using Federated Learning to Assess
  Depression
Privacy Sensitive Speech Analysis Using Federated Learning to Assess Depression
BN Suhas
Saeed Abdullah
11
25
0
30 Apr 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier
  Re-Training with Federated Features
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
Xinyi Shang
Yang Lu
Gang Huang
Hanzi Wang
FedML
23
79
0
28 Apr 2022
Attention Consistency on Visual Corruptions for Single-Source Domain
  Generalization
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
Ilke Çugu
Massimiliano Mancini
Yanbei Chen
Zeynep Akata
OOD
19
44
0
27 Apr 2022
Understanding A Class of Decentralized and Federated Optimization
  Algorithms: A Multi-Rate Feedback Control Perspective
Understanding A Class of Decentralized and Federated Optimization Algorithms: A Multi-Rate Feedback Control Perspective
Xinwei Zhang
Mingyi Hong
N. Elia
FedML
18
3
0
27 Apr 2022
Continual Learning for Peer-to-Peer Federated Learning: A Study on
  Automated Brain Metastasis Identification
Continual Learning for Peer-to-Peer Federated Learning: A Study on Automated Brain Metastasis Identification
Yixing Huang
Christoph Bert
Stefan Fischer
Manuel Schmidt
Arnd Dörfler
Andreas Maier
R. Fietkau
F. Putz
FedML
CLL
OOD
MedIm
36
17
0
26 Apr 2022
Federated Progressive Sparsification (Purge, Merge, Tune)+
Federated Progressive Sparsification (Purge, Merge, Tune)+
Dimitris Stripelis
Umang Gupta
Greg Ver Steeg
J. Ambite
FedML
23
9
0
26 Apr 2022
Time-triggered Federated Learning over Wireless Networks
Time-triggered Federated Learning over Wireless Networks
Xiaokang Zhou
Yansha Deng
Huiyun Xia
Shaochuan Wu
M. Bennis
FedML
37
20
0
26 Apr 2022
A Closer Look at Personalization in Federated Image Classification
A Closer Look at Personalization in Federated Image Classification
Changxing Jing
Yan Huang
Yihong Zhuang
Liyan Sun
Yue Huang
Zhenlong Xiao
Xinghao Ding
35
1
0
22 Apr 2022
Learning Task-Aware Energy Disaggregation: a Federated Approach
Learning Task-Aware Energy Disaggregation: a Federated Approach
Ruohong Liu
Yize Chen
18
8
0
14 Apr 2022
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient
  Package for Federated Graph Learning
FederatedScope-GNN: Towards a Unified, Comprehensive and Efficient Package for Federated Graph Learning
Zhen Wang
Weirui Kuang
Yuexiang Xie
Liuyi Yao
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
15
77
0
12 Apr 2022
Financial technologies (FinTech) for mental health: The potential of
  objective financial data to better understand the relationships between
  financial behavior and mental health
Financial technologies (FinTech) for mental health: The potential of objective financial data to better understand the relationships between financial behavior and mental health
Johnna Blair
Jeff Brozena
Mark Matthews
Thomas Richardson
Saeed Abdullah
14
12
0
11 Apr 2022
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
FederatedScope: A Flexible Federated Learning Platform for Heterogeneity
Yuexiang Xie
Zhen Wang
Dawei Gao
Daoyuan Chen
Liuyi Yao
Weirui Kuang
Yaliang Li
Bolin Ding
Jingren Zhou
FedML
21
88
0
11 Apr 2022
Ensemble learning using individual neonatal data for seizure detection
Ensemble learning using individual neonatal data for seizure detection
A. Borovac
S. Gudmundsson
G. Thorvardsson
S. M. Moghadam
P. Nevalainen
N. Stevenson
S. Vanhatalo
T. Runarsson
FedML
19
8
0
11 Apr 2022
Divergence-aware Federated Self-Supervised Learning
Divergence-aware Federated Self-Supervised Learning
Weiming Zhuang
Yonggang Wen
Shuai Zhang
FedML
25
97
0
09 Apr 2022
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a
  Collaborative IoT Intrusion Detection
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
Mohanad Sarhan
Wai Weng Lo
S. Layeghy
Marius Portmann
23
59
0
08 Apr 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous
  Communication Thresholds
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds
Shahryar Zehtabi
Seyyedali Hosseinalipour
Christopher G. Brinton
FedML
34
15
0
07 Apr 2022
Multi-Task Distributed Learning using Vision Transformer with Random
  Patch Permutation
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation
Sangjoon Park
Jong Chul Ye
FedML
MedIm
42
19
0
07 Apr 2022
Federated Learning for Distributed Spectrum Sensing in NextG
  Communication Networks
Federated Learning for Distributed Spectrum Sensing in NextG Communication Networks
Yi Shi
Y. Sagduyu
T. Erpek
FedML
24
15
0
06 Apr 2022
FedGBF: An efficient vertical federated learning framework via gradient
  boosting and bagging
FedGBF: An efficient vertical federated learning framework via gradient boosting and bagging
Yujin Han
Pan Du
Kai Yang
FedML
20
12
0
03 Apr 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and
  Methodologies from CNN, GAN to Attention and Transformers
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers
Jiahao Huang
Yingying Fang
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OOD
MedIm
39
3
0
01 Apr 2022
Enabling hand gesture customization on wrist-worn devices
Enabling hand gesture customization on wrist-worn devices
Xuhai Xu
Jun Gong
Carolina Brum
Lilian Liang
Bongsoo Suh
...
Heri Nieto
Scott E. Hudson
Charlie Maalouf
S. Mousavi
Gierad Laput
33
65
0
29 Mar 2022
Federated Named Entity Recognition
Federated Named Entity Recognition
Joel Mathew
Dimitris Stripelis
J. Ambite
FedML
22
1
0
28 Mar 2022
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in
  Secure Aggregation for Federated Learning
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning
Tayyebeh Jahani-Nezhad
M. Maddah-ali
Songze Li
Giuseppe Caire
FedML
34
45
0
24 Mar 2022
Asynchronous Collaborative Learning Across Data Silos
Asynchronous Collaborative Learning Across Data Silos
Tiffany Tuor
J. Lockhart
Daniele Magazzeni
FedML
37
3
0
23 Mar 2022
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework
  with Adaptive Neighbor Matching
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching
Zexi Li
Jiaxun Lu
Shuang Luo
Didi Zhu
Yunfeng Shao
Yinchuan Li
Zhimeng Zhang
Yongheng Wang
Chao-Xiang Wu
FedML
40
36
0
23 Mar 2022
A Comprehensive Review on Blockchains for Internet of Vehicles:
  Challenges and Directions
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions
Brian Hildebrand
Mohamed Baza
Tara Salman
Fathi H. Amsaad
Abdul Razaqu
Abdullah Alourani
33
45
0
21 Mar 2022
Federated Spatial Reuse Optimization in Next-Generation Decentralized
  IEEE 802.11 WLANs
Federated Spatial Reuse Optimization in Next-Generation Decentralized IEEE 802.11 WLANs
F. Wilhelmi
Jernej Hribar
Selim F. Yilmaz
Emre Ozfatura
Kerem Ozfatura
...
Xiaoying Ye
Lizhao You
Yulin Shao
Paolo Dini
B. Bellalta
21
10
0
20 Mar 2022
Communication-Efficient Federated Distillation with Active Data Sampling
Communication-Efficient Federated Distillation with Active Data Sampling
Lumin Liu
Jun Zhang
Shenghui Song
Khaled B. Letaief
FedML
24
25
0
14 Mar 2022
Climate Change & Computer Audition: A Call to Action and Overview on
  Audio Intelligence to Help Save the Planet
Climate Change & Computer Audition: A Call to Action and Overview on Audio Intelligence to Help Save the Planet
Björn W. Schuller
Ali Akman
Yi-Fen Chang
H. Coppock
Alexander Gebhard
Alexander Kathan
Esther Rituerto-González
Andreas Triantafyllopoulos
Florian B. Pokorny
35
1
0
10 Mar 2022
FedDrive: Generalizing Federated Learning to Semantic Segmentation in
  Autonomous Driving
FedDrive: Generalizing Federated Learning to Semantic Segmentation in Autonomous Driving
Lidia Fantauzzo
Eros Fani
Debora Caldarola
A. Tavera
Fabio Cermelli
Marco Ciccone
Barbara Caputo
FedML
36
52
0
28 Feb 2022
Combining Observational and Randomized Data for Estimating Heterogeneous
  Treatment Effects
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects
Tobias Hatt
Jeroen Berrevoets
Alicia Curth
Stefan Feuerriegel
M. Schaar
CML
52
29
0
25 Feb 2022
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural
  Architecture Search
Towards Tailored Models on Private AIoT Devices: Federated Direct Neural Architecture Search
Chunhui Zhang
Xiaoming Yuan
Qianyun Zhang
Guangxu Zhu
Lei Cheng
Ning Zhang
FedML
OOD
15
15
0
23 Feb 2022
Personalized Federated Learning with Exact Stochastic Gradient Descent
Personalized Federated Learning with Exact Stochastic Gradient Descent
Sotirios Nikoloutsopoulos
I. Koutsopoulos
Michalis K. Titsias
FedML
31
9
0
20 Feb 2022
FLAME: Federated Learning Across Multi-device Environments
FLAME: Federated Learning Across Multi-device Environments
Hyunsung Cho
Akhil Mathur
F. Kawsar
16
21
0
17 Feb 2022
Evaluation and Analysis of Different Aggregation and Hyperparameter
  Selection Methods for Federated Brain Tumor Segmentation
Evaluation and Analysis of Different Aggregation and Hyperparameter Selection Methods for Federated Brain Tumor Segmentation
Ece Isik Polat
Gorkem Polat
Altan Koçyiğit
A. Temi̇zel
OOD
FedML
22
3
0
16 Feb 2022
Secure-by-Construction Synthesis of Cyber-Physical Systems
Secure-by-Construction Synthesis of Cyber-Physical Systems
Siyuan Liu
Ashutosh Trivedi
Xiang Yin
Majid Zamani
3DV
30
43
0
14 Feb 2022
SHED: A Newton-type algorithm for federated learning based on
  incremental Hessian eigenvector sharing
SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
Nicolò Dal Fabbro
S. Dey
M. Rossi
Luca Schenato
FedML
29
14
0
11 Feb 2022
Adaptive and Robust Multi-Task Learning
Adaptive and Robust Multi-Task Learning
Yaqi Duan
Kaizheng Wang
78
23
0
10 Feb 2022
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection
Yuxi Mi
Yiheng Sun
Jihong Guan
Shuigeng Zhou
AAML
FedML
16
1
0
09 Feb 2022
Federated Learning of Generative Image Priors for MRI Reconstruction
Federated Learning of Generative Image Priors for MRI Reconstruction
Gokberk Elmas
S. Dar
Yilmaz Korkmaz
Emir Ceyani
Burak Susam
Muzaffer Özbey
Salman Avestimehr
Tolga cCukur
FedML
MedIm
AI4CE
18
88
0
08 Feb 2022
Asynchronous Parallel Incremental Block-Coordinate Descent for
  Decentralized Machine Learning
Asynchronous Parallel Incremental Block-Coordinate Descent for Decentralized Machine Learning
Hao Chen
Yu Ye
Ming Xiao
Mikael Skoglund
27
3
0
07 Feb 2022
Addressing modern and practical challenges in machine learning: A survey
  of online federated and transfer learning
Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning
Shuang Dai
Fanlin Meng
FedML
OnRL
40
21
0
07 Feb 2022
Privacy-preserving Speech Emotion Recognition through Semi-Supervised
  Federated Learning
Privacy-preserving Speech Emotion Recognition through Semi-Supervised Federated Learning
Vasileios Tsouvalas
T. Ozcelebi
N. Meratnia
34
21
0
05 Feb 2022
Previous
123...678...111213
Next