Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2012.03214
Cited By
v1
v2 (latest)
TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture
6 December 2020
Jin-Woo Lee
Jaehoon Oh
Sungsu Lim
Se-Young Yun
Jae-Gil Lee
FedML
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture"
14 / 14 papers shown
Towards Heterogeneity-Aware and Energy-Efficient Topology Optimization for Decentralized Federated Learning in Edge Environment
Yuze Liu
Tiehua Zhang
Zhishu Shen
Libing Wu
Shiping Chen
Jiong Jin
98
1
0
01 Aug 2025
FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
Jianjun Huang
Lixin Ye
Li Kang
FedML
143
3
0
19 Mar 2024
Quantum Federated Learning With Quantum Networks
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Tyler Wang
Huan-Hsin Tseng
Shinjae Yoo
260
24
0
23 Oct 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks
Daniel Scheliga
Patrick Mäder
M. Seeland
FedML
AAML
353
10
0
08 Sep 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
ACM Computing Surveys (ACM Comput. Surv.), 2023
Jiajun Wu
Steve Drew
Fan Dong
Zhuangdi Zhu
Jiayu Zhou
FedML
331
103
0
06 Feb 2023
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network
IEEE Transactions on Wireless Communications (TWC), 2022
Qingze Fang
Zhiwei Zhai
Shuai Yu
Qiong Wu
Xiaowen Gong
Xu Chen
182
41
0
02 Dec 2022
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings
IEEE Military Communications Conference (MILCOM), 2022
Ryan Yang
Haizhou Du
Andre Wibisono
Patrick Baker
145
2
0
28 Oct 2022
On the Convergence of Multi-Server Federated Learning with Overlapping Area
IEEE Transactions on Mobile Computing (IEEE TMC), 2022
Zhe Qu
Xingyu Li
Jie Xu
Bo Tang
Zhuo Lu
Yao-Hong Liu
FedML
232
27
0
16 Aug 2022
Introducing Federated Learning into Internet of Things ecosystems -- preliminary considerations
World Forum on Internet of Things (WF-IoT), 2022
Karolina Bogacka
Katarzyna Wasielewska-Michniewska
M. Paprzycki
M. Ganzha
Anastasiya Danilenka
L. Tassakos
Eduardo Garro
FedML
169
1
0
15 Jul 2022
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions
Haizhou Du
Ryan Yang
Yijian Chen
Qiao Xiang
Andre Wibisono
Wei Huang
227
0
0
29 Jan 2022
Flexible Clustered Federated Learning for Client-Level Data Distribution Shift
IEEE Transactions on Parallel and Distributed Systems (TPDS), 2021
Moming Duan
Duo Liu
Xinyuan Ji
Yu Wu
Liang Liang
Xianzhang Chen
Yujuan Tan
FedML
OOD
208
147
0
22 Aug 2021
PRECODE - A Generic Model Extension to Prevent Deep Gradient Leakage
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2021
Daniel Scheliga
Patrick Mäder
M. Seeland
MIACV
225
46
0
10 Aug 2021
D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
IEEE International Symposium on Reliable Distributed Systems (SRDS), 2021
A. Bellet
Anne-Marie Kermarrec
Erick Lavoie
FedML
492
33
0
15 Apr 2021
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure
Moming Duan
Duo Liu
Xinyuan Ji
Renping Liu
Liang Liang
Xianzhang Chen
Yujuan Tan
FedML
511
103
0
14 Oct 2020
1
Page 1 of 1
