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. 2310.05269
  4. Cited By
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and
  Applications

Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications

8 October 2023
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
    FedML
ArXivPDFHTML

Papers citing "Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications"

12 / 12 papers shown
Title
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments
A Hybrid Swarm Intelligence Approach for Optimizing Multimodal Large Language Models Deployment in Edge-Cloud-based Federated Learning Environments
Gaith Rjouba
Hanae Elmekki
Saidul Islam
Jamal Bentahar
Rachida Dssouli
36
0
0
04 Feb 2025
Graph Federated Learning for CIoT Devices in Smart Home Applications
Graph Federated Learning for CIoT Devices in Smart Home Applications
Arash Rasti-Meymandi
S. M. Sheikholeslami
J. Abouei
Konstantinos N. Plataniotis
FedML
15
18
0
29 Dec 2022
Privacy-preserving Decentralized Federated Learning over Time-varying
  Communication Graph
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph
Yang Lu
Zhengxin Yu
N. Suri
FedML
19
13
0
01 Oct 2022
A Survey of DeFi Security: Challenges and Opportunities
A Survey of DeFi Security: Challenges and Opportunities
Wenkai Li
Jiuyang Bu
Xiaoqi Li
Hongli Peng
Yuanzheng Niu
Xianyi Chen
16
34
0
23 Jun 2022
FedHAP: Fast Federated Learning for LEO Constellations Using
  Collaborative HAPs
FedHAP: Fast Federated Learning for LEO Constellations Using Collaborative HAPs
Mohamed Elmahallawy
Tie-Mei Luo
FedML
30
35
0
15 May 2022
Asynchronous Decentralized Learning over Unreliable Wireless Networks
Asynchronous Decentralized Learning over Unreliable Wireless Networks
Eunjeong Jeong
Matteo Zecchin
Marios Kountouris
19
15
0
02 Feb 2022
The Internet of Federated Things (IoFT): A Vision for the Future and
  In-depth Survey of Data-driven Approaches for Federated Learning
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning
Raed Al Kontar
Naichen Shi
Xubo Yue
Seokhyun Chung
E. Byon
...
C. Okwudire
Garvesh Raskutti
R. Saigal
Karandeep Singh
Ye Zhisheng
FedML
20
40
0
09 Nov 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms
  and Convergence Analysis
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing
Osvaldo Simeone
Suzhi Bi
27
93
0
29 Jan 2021
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home
  Health Monitoring
FedHome: Cloud-Edge based Personalized Federated Learning for In-Home Health Monitoring
Qiong Wu
Xu Chen
Zhi Zhou
Junshan Zhang
FedML
150
183
0
14 Dec 2020
Federated Learning for Task and Resource Allocation in Wireless High
  Altitude Balloon Networks
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks
Sihua Wang
Mingzhe Chen
Changchuan Yin
Walid Saad
C. Hong
Shuguang Cui
H. Vincent Poor
20
57
0
19 Mar 2020
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
63
598
0
02 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
133
1,663
0
14 Apr 2018
1