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. 2111.07494
  4. Cited By
Federated Learning for Internet of Things: Applications, Challenges, and
  Opportunities
v1v2v3v4 (latest)

Federated Learning for Internet of Things: Applications, Challenges, and Opportunities

15 November 2021
Tuo Zhang
Lei Gao
Chaoyang He
Mi Zhang
Bhaskar Krishnamachari
Salman Avestimehr
    FedML
ArXiv (abs)PDFHTML

Papers citing "Federated Learning for Internet of Things: Applications, Challenges, and Opportunities"

46 / 46 papers shown
Title
Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection
Gabriele Digregorio
Elisabetta Cainazzo
Stefano Longari
Michele Carminati
S. Zanero
91
2
0
05 Jun 2025
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Towards a Distributed Federated Learning Aggregation Placement using Particle Swarm Intelligence
Amir Ali-Pour
Sadra Bekrani
Laya Samizadeh
Julien Gascon-Samson
FedML
79
0
0
22 Apr 2025
Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving
Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving
Junxiang Gao
Yixin Ran
Jia Chen
19
0
0
21 Apr 2025
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models
Pascal Chang
Jingwei Tang
Markus Gross
Vinicius Azevedo
DiffM
95
0
0
03 Apr 2025
EMO: Edge Model Overlays to Scale Model Size in Federated Learning
EMO: Edge Model Overlays to Scale Model Size in Federated Learning
Di Wu
Weibo He
Wanglei Feng
Z. Wen
Bin Qian
Blesson Varghese
82
0
0
01 Apr 2025
Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data
Communication Efficient Federated Learning with Linear Convergence on Heterogeneous Data
Jie Liu
Yun Wang
FedML
133
0
0
20 Mar 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data
Shanshan Yan
Zexi Li
Chao-Xiang Wu
Meng Pang
Yang Lu
Yan Yan
Hanzi Wang
FedML
96
0
0
10 Mar 2025
NoT: Federated Unlearning via Weight Negation
Yasser H. Khalil
Leo Maxime Brunswic
Soufiane Lamghari
Xu Li
Mahdi Beitollahi
Xi Chen
MU
122
2
0
07 Mar 2025
AugFL: Augmenting Federated Learning with Pretrained Models
Sheng Yue
Zerui Qin
Yongheng Deng
Ju Ren
Yaoxue Zhang
Junshan Zhang
FedML
133
0
0
04 Mar 2025
Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems
Privacy-Enhanced Training-as-a-Service for On-Device Intelligence: Concept, Architectural Scheme, and Open Problems
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Bo Gao
Tianliu He
Wen Wang
144
0
0
24 Feb 2025
Principles and Components of Federated Learning Architectures
Principles and Components of Federated Learning Architectures
S. Saif
Md Abdullah Al Nasim
Parag Biswas
Abdur Rashid
Md. Mahim Anjum Haque
Md. Zihad Bin Jahangir
Kishor Datta Gupta
FedML
124
3
0
07 Feb 2025
On the Linear Speedup of Personalized Federated Reinforcement Learning
  with Shared Representations
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations
Guojun Xiong
Shufan Wang
Daniel Jiang
Jian Li
FedML
139
1
0
22 Nov 2024
In-depth Analysis of Privacy Threats in Federated Learning for Medical
  Data
In-depth Analysis of Privacy Threats in Federated Learning for Medical Data
B. Das
M. H. Amini
Yanzhao Wu
44
0
0
27 Sep 2024
Leveraging Foundation Models for Efficient Federated Learning in
  Resource-restricted Edge Networks
Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks
S. K. Atapour
S. J. Seyedmohammadi
S. Mohammad Sheikholeslami
J. Abouei
Konstantinos N. Plataniotis
Arash Mohammadi
FedML
79
2
0
14 Sep 2024
Embracing Federated Learning: Enabling Weak Client Participation via
  Partial Model Training
Embracing Federated Learning: Enabling Weak Client Participation via Partial Model Training
Sunwoo Lee
Tuo Zhang
Saurav Prakash
Yue Niu
Salman Avestimehr
FedML
56
5
0
21 Jun 2024
Towards Communication-efficient Federated Learning via Sparse and
  Aligned Adaptive Optimization
Towards Communication-efficient Federated Learning via Sparse and Aligned Adaptive Optimization
Xiumei Deng
Jun Li
Kang Wei
Long Shi
Zeihui Xiong
Ming Ding
Wen Chen
Shi Jin
H. Vincent Poor
FedML
69
0
0
28 May 2024
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge
  Cache-driven Federated Learning
FedCache 2.0: Exploiting the Potential of Distilled Data in Knowledge Cache-driven Federated Learning
Quyang Pan
Sheng Sun
Zhiyuan Wu
Yuwei Wang
Min Liu
Bo Gao
FedML
140
1
0
22 May 2024
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for
  Federated Learning
Holistic Evaluation Metrics: Use Case Sensitive Evaluation Metrics for Federated Learning
Yanli Li
Jehad Ibrahim
Huaming Chen
Dong Yuan
Kim-Kwang Raymond Choo
115
0
0
03 May 2024
Optimal Batch Allocation for Wireless Federated Learning
Optimal Batch Allocation for Wireless Federated Learning
Jaeyoung Song
Sang-Woon Jeon
49
0
0
03 Apr 2024
Agglomerative Federated Learning: Empowering Larger Model Training via
  End-Edge-Cloud Collaboration
Agglomerative Federated Learning: Empowering Larger Model Training via End-Edge-Cloud Collaboration
Zhiyuan Wu
Sheng Sun
Yuwei Wang
Min Liu
Bo Gao
Quyang Pan
Tianliu He
Xue Jiang
FedML
114
16
0
01 Dec 2023
A Comprehensive Study on Model Initialization Techniques Ensuring
  Efficient Federated Learning
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning
Ishmeet Kaur
Adwaita Janardhan Jadhav
AIFinFedML
27
3
0
31 Oct 2023
FLrce: Resource-Efficient Federated Learning with Early-Stopping
  Strategy
FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy
Ziru Niu
Senior Member Ieee Hai Dong
•. A. K. Qin
Senior Member Ieee Tao Gu
83
7
0
15 Oct 2023
Applications of Federated Learning in IoT for Hyper Personalisation
Applications of Federated Learning in IoT for Hyper Personalisation
Buyu Lin
44
0
0
28 Sep 2023
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart
  Grid: A Review
Vulnerability of Machine Learning Approaches Applied in IoT-based Smart Grid: A Review
Zhenyong Zhang
Mengxiang Liu
Mingyang Sun
Ruilong Deng
Peng Cheng
Dusit Niyato
Mo-Yuen Chow
Jiming Chen
107
47
0
30 Aug 2023
Uncovering Promises and Challenges of Federated Learning to Detect
  Cardiovascular Diseases: A Scoping Literature Review
Uncovering Promises and Challenges of Federated Learning to Detect Cardiovascular Diseases: A Scoping Literature Review
Sricharan Donkada
Seyedamin Pouriyeh
R. Parizi
Meng Han
N. Dehbozorgi
Nazmus Sakib
Quan.Z Sheng
FedML
40
1
0
26 Aug 2023
GPFL: Simultaneously Learning Global and Personalized Feature
  Information for Personalized Federated Learning
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning
Jianqing Zhang
Yang Hua
Hao Wang
Tao Song
Zhengui Xue
Ruhui Ma
Jianyin Cao
Haibing Guan
110
25
0
20 Aug 2023
Towards Open Federated Learning Platforms: Survey and Vision from
  Technical and Legal Perspectives
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
84
5
0
05 Jul 2023
Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on
  Decentralized Data
Leveraging The Edge-to-Cloud Continuum for Scalable Machine Learning on Decentralized Data
A. Abdelmoniem
64
1
0
19 Jun 2023
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey
  of Vulnerabilities, Datasets, and Defenses
Edge Learning for 6G-enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
M. Ferrag
Othmane Friha
B. Kantarci
Norbert Tihanyi
Lucas C. Cordeiro
Merouane Debbah
Djallel Hamouda
Muna Al-Hawawreh
K. Choo
128
50
0
17 Jun 2023
FedMultimodal: A Benchmark For Multimodal Federated Learning
FedMultimodal: A Benchmark For Multimodal Federated Learning
Tiantian Feng
Digbalay Bose
Tuo Zhang
Rajat Hebbar
Anil Ramakrishna
Rahul Gupta
Mi Zhang
Salman Avestimehr
Shrikanth Narayanan
120
58
0
15 Jun 2023
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
Tuo Zhang
Tiantian Feng
Samiul Alam
Dimitrios Dimitriadis
Sunwoo Lee
Mi Zhang
Shrikanth S. Narayanan
Salman Avestimehr
FedML
75
29
0
03 Jun 2023
Federated Domain Generalization: A Survey
Federated Domain Generalization: A Survey
Ying Li
Xingwei Wang
Rongfei Zeng
Praveen Kumar Donta
Ilir Murturi
Min Huang
Schahram Dustdar
OODFedMLAI4CE
94
31
0
02 Jun 2023
Learning to Transmit with Provable Guarantees in Wireless Federated
  Learning
Learning to Transmit with Provable Guarantees in Wireless Federated Learning
Boning Li
Jake B. Perazzone
A. Swami
Santiago Segarra
74
4
0
18 Apr 2023
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future
  Directions
The Metaverse: Survey, Trends, Novel Pipeline Ecosystem & Future Directions
Hani Sami
Ahmad Hammoud
M. Arafeh
M. Wazzeh
S. Arisdakessian
...
Jamal Bentahar
C. Talhi
Z. Dziong
Ernesto Damiani
Mohsen Guizani
91
28
0
18 Apr 2023
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with
  Adaptive Partial Training
TimelyFL: Heterogeneity-aware Asynchronous Federated Learning with Adaptive Partial Training
Tuo Zhang
Lei Gao
Sunwoo Lee
Mi Zhang
Salman Avestimehr
FedML
91
30
0
14 Apr 2023
Secure Federated Learning against Model Poisoning Attacks via Client
  Filtering
Secure Federated Learning against Model Poisoning Attacks via Client Filtering
D. Yaldiz
Tuo Zhang
Salman Avestimehr
AAMLFedML
73
14
0
31 Mar 2023
Asynchronous Online Federated Learning with Reduced Communication
  Requirements
Asynchronous Online Federated Learning with Reduced Communication Requirements
François Gauthier
Vinay Chakravarthi Gogineni
Stefan Werner
Yih-Fang Huang
A. Kuh
64
6
0
27 Mar 2023
FLSTRA: Federated Learning in Stratosphere
FLSTRA: Federated Learning in Stratosphere
A. Farajzadeh
Animesh Yadav
Omid Abbasi
Wael Jaafar
H. Yanikomeroglu
71
6
0
01 Feb 2023
Need of 6G for the Metaverse Realization
Need of 6G for the Metaverse Realization
Bartlomiej Siniarski
C. D. Alwis
Gokul Yenduri
Thien Huynh-The
Gürkan Gür
Thippa Reddy Gadekallu
Madhusanka Liyanage
106
16
0
28 Dec 2022
Federated Learning Hyper-Parameter Tuning from a System Perspective
Federated Learning Hyper-Parameter Tuning from a System Perspective
Huan Zhang
Lei Fu
Mi Zhang
Pengfei Hu
Xiuzhen Cheng
P. Mohapatra
Xin Liu
FedML
78
8
0
24 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and
  Opportunities
Client Selection in Federated Learning: Principles, Challenges, and Opportunities
Lei Fu
Huan Zhang
Ge Gao
Mi Zhang
Xin Liu
FedML
79
140
0
03 Nov 2022
FedAudio: A Federated Learning Benchmark for Audio Tasks
FedAudio: A Federated Learning Benchmark for Audio Tasks
Tuo Zhang
Tiantian Feng
Samiul Alam
Sunwoo Lee
Mi Zhang
Shrikanth S. Narayanan
Salman Avestimehr
FedML
118
25
0
27 Oct 2022
Efficient Adaptive Federated Optimization of Federated Learning for IoT
Efficient Adaptive Federated Optimization of Federated Learning for IoT
Zunming Chen
Hongyan Cui
Ensen Wu
Yu Xi
69
0
0
23 Jun 2022
Towards cost-effective and resource-aware aggregation at Edge for
  Federated Learning
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning
A. Khan
Yuze Li
Xinran Wang
Sabaat Haroon
Haider Ali
Yue Cheng
A. R. Butt
Ali Anwar
106
3
0
16 Apr 2022
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks
Chaoyang He
Alay Dilipbhai Shah
Zhenheng Tang
Adarshan Naiynar Sivashunmugam
Keerti Bhogaraju
Mita Shimpi
Li Shen
Xiaowen Chu
Mahdi Soltanolkotabi
Salman Avestimehr
VLMFedML
112
69
0
22 Nov 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
72
18
0
06 Oct 2021
1