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Cost-Effective Federated Learning in Mobile Edge Networks

Cost-Effective Federated Learning in Mobile Edge Networks

12 September 2021
Bing Luo
Xiang Li
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
    FedML
ArXivPDFHTML

Papers citing "Cost-Effective Federated Learning in Mobile Edge Networks"

23 / 23 papers shown
Title
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo
  Federated Learning
Local Superior Soups: A Catalyst for Model Merging in Cross-Silo Federated Learning
Minghui Chen
Meirui Jiang
Xin Zhang
Qi Dou
Zehua Wang
Xiaoxiao Li
MoMe
FedML
33
2
0
31 Oct 2024
Online Client Scheduling and Resource Allocation for Efficient Federated
  Edge Learning
Online Client Scheduling and Resource Allocation for Efficient Federated Edge Learning
Zhidong Gao
Zhenxiao Zhang
Yu Zhang
Tongnian Wang
Yanmin Gong
Yuanxiong Guo
18
0
0
29 Sep 2024
Heterogeneity-Aware Resource Allocation and Topology Design for
  Hierarchical Federated Edge Learning
Heterogeneity-Aware Resource Allocation and Topology Design for Hierarchical Federated Edge Learning
Zhidong Gao
Yu Zhang
Yanmin Gong
Yuanxiong Guo
16
0
0
29 Sep 2024
Over-the-Air Federated Learning via Weighted Aggregation
Over-the-Air Federated Learning via Weighted Aggregation
Seyed Mohammad Azimi-Abarghouyi
Leandros Tassiulas
FedML
21
2
0
12 Sep 2024
Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for
  Smart Campus via Federated Learning & Analytics
Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics
Jiaxiang Geng
Beilong Tang
Boyan Zhang
Jiaqi Shao
B. Luo
FedML
15
1
0
31 Aug 2024
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov
  Optimization Approach
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
21
2
0
20 May 2024
FLARE: A New Federated Learning Framework with Adjustable Learning Rates
  over Resource-Constrained Wireless Networks
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
Bingnan Xiao
Jingjing Zhang
Wei Ni
Xin Eric Wang
23
0
0
23 Apr 2024
Adaptive Federated Learning in Heterogeneous Wireless Networks with
  Independent Sampling
Adaptive Federated Learning in Heterogeneous Wireless Networks with Independent Sampling
Jiaxiang Geng
Yanzhao Hou
Xiaofeng Tao
Juncheng Wang
Bing Luo
FedML
9
0
0
15 Feb 2024
Federated Learning While Providing Model as a Service: Joint Training
  and Inference Optimization
Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization
Pengchao Han
Shiqiang Wang
Yang Jiao
Jianwei Huang
FedML
4
5
0
20 Dec 2023
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular
  Federated Learning
VREM-FL: Mobility-Aware Computation-Scheduling Co-Design for Vehicular Federated Learning
Luca Ballotta
Nicolò Dal Fabbro
Giovanni Perin
Luca Schenato
Michele Rossi
Giuseppe Piro
30
1
0
30 Nov 2023
Handling Data Heterogeneity via Architectural Design for Federated
  Visual Recognition
Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition
Sara Pieri
Jose Renato Restom
Samuel Horvath
Hisham Cholakkal
FedML
13
8
0
23 Oct 2023
Over-the-Air Federated Learning and Optimization
Over-the-Air Federated Learning and Optimization
Jingyang Zhu
Yuanming Shi
Yong Zhou
Chunxiao Jiang
Wei-Neng Chen
Khaled B. Letaief
FedML
11
10
0
16 Oct 2023
FedDefender: Client-Side Attack-Tolerant Federated Learning
FedDefender: Client-Side Attack-Tolerant Federated Learning
Sungwon Park
Sungwon Han
Fangzhao Wu
Sundong Kim
Bin Zhu
Xing Xie
Meeyoung Cha
FedML
AAML
9
20
0
18 Jul 2023
Dynamic Scheduling for Federated Edge Learning with Streaming Data
Dynamic Scheduling for Federated Edge Learning with Streaming Data
Chung-Hsuan Hu
Zheng Chen
Erik G. Larsson
19
4
0
02 May 2023
Incentive Mechanism Design for Unbiased Federated Learning with
  Randomized Client Participation
Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation
Bing Luo
Yutong Feng
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
11
7
0
17 Apr 2023
Optimization Design for Federated Learning in Heterogeneous 6G Networks
Optimization Design for Federated Learning in Heterogeneous 6G Networks
Bing Luo
Xiaomin Ouyang
Peng Sun
Pengchao Han
Ningning Ding
Jianwei Huang
17
13
0
15 Mar 2023
Why Batch Normalization Damage Federated Learning on Non-IID Data?
Why Batch Normalization Damage Federated Learning on Non-IID Data?
Yanmeng Wang
Qingjiang Shi
Tsung-Hui Chang
FedML
11
33
0
08 Jan 2023
FedCross: Towards Accurate Federated Learning via Multi-Model
  Cross-Aggregation
FedCross: Towards Accurate Federated Learning via Multi-Model Cross-Aggregation
Ming Hu
Peiheng Zhou
Zhihao Yue
Zhiwei Ling
Yihao Huang
Anran Li
Yang Liu
Xiang Lian
Mingsong Chen
FedML
9
13
0
15 Oct 2022
Energy Efficient Deployment and Orchestration of Computing Resources at
  the Network Edge: a Survey on Algorithms, Trends and Open Challenges
Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges
N. Shalavi
Giovanni Perin
Andrea Zanella
M. Rossi
6
6
0
28 Sep 2022
Efficient Wireless Federated Learning with Partial Model Aggregation
Efficient Wireless Federated Learning with Partial Model Aggregation
Zhixiong Chen
Wenqiang Yi
A. Nallanathan
Geoffrey Ye Li
24
10
0
20 Apr 2022
Tackling System and Statistical Heterogeneity for Federated Learning
  with Adaptive Client Sampling
Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling
Bing Luo
Wenli Xiao
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
19
119
0
21 Dec 2021
Computational Intelligence and Deep Learning for Next-Generation
  Edge-Enabled Industrial IoT
Computational Intelligence and Deep Learning for Next-Generation Edge-Enabled Industrial IoT
Shunpu Tang
Lunyuan Chen
Junjuan Xia
Lisheng Fan
A. Nallanathan
17
102
0
28 Oct 2021
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
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