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Blockchain Assisted Federated Learning over Wireless Channels: Dynamic
  Resource Allocation and Client Scheduling
v1v2v3 (latest)

Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling

IEEE Transactions on Wireless Communications (IEEE TWC), 2021
31 May 2021
Xiumei Deng
Jun Li
Chuan Ma
Kang Wei
Long Shi
Ming Ding
Wen Chen
H. Vincent Poor
ArXiv (abs)PDFHTML

Papers citing "Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling"

16 / 16 papers shown
Data Processing Efficiency Aware User Association and Resource
  Allocation in Blockchain Enabled Metaverse over Wireless Communications
Data Processing Efficiency Aware User Association and Resource Allocation in Blockchain Enabled Metaverse over Wireless CommunicationsACM Interational Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), 2024
Liangxin Qian
Jun Zhao
252
2
0
25 Nov 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
431
0
0
29 Sep 2024
Blockchain-aided wireless federated learning: Resource allocation and
  client scheduling
Blockchain-aided wireless federated learning: Resource allocation and client scheduling
Jun Li
Weiwei Zhang
Kang Wei
Guangji Chen
Feng Shu
Wen Chen
Shi Jin
293
3
0
02 Jun 2024
Trustworthy DNN Partition for Blockchain-enabled Digital Twin in
  Wireless IIoT Networks
Trustworthy DNN Partition for Blockchain-enabled Digital Twin in Wireless IIoT Networks
Xiumei Deng
Jun Li
Long Shi
Kang Wei
Ming Ding
Yumeng Shao
Wen Chen
Shi Jin
212
8
0
28 May 2024
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis
  and Optimizations
Robust Model Aggregation for Heterogeneous Federated Learning: Analysis and Optimizations
Yumeng Shao
Jun Li
Long Shi
Kang Wei
Ming Ding
Qianmu Li
Zengxiang Li
Wen Chen
Shi Jin
FedML
244
1
0
11 May 2024
From Learning to Analytics: Improving Model Efficacy with Goal-Directed
  Client Selection
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection
Jingwen Tong
Zhenzhen Chen
Liqun Fu
Jun Zhang
Zhu Han
FedML
261
1
0
30 Mar 2024
Heterogeneous Federated Learning with Splited Language Model
Heterogeneous Federated Learning with Splited Language Model
Yifan Shi
Yuhui Zhang
Ziyue Huang
Xiaofeng Yang
Li Shen
Wei Chen
Xueqian Wang
FedML
325
2
0
24 Mar 2024
Energy-Efficient Wireless Federated Learning via Doubly Adaptive
  Quantization
Energy-Efficient Wireless Federated Learning via Doubly Adaptive Quantization
Xu Han
Wen Chen
Jun Li
Ming Ding
Qing-Bin Wu
Kang Wei
Xiumei Deng
Zhen Mei
MQ
300
11
0
20 Feb 2024
Federated Learning in Intelligent Transportation Systems: Recent
  Applications and Open Problems
Federated Learning in Intelligent Transportation Systems: Recent Applications and Open Problems
Shiying Zhang
Jun Li
Long Shi
Ming Ding
Dinh C. Nguyen
Wuzheng Tan
Jian Weng
Zhu Han
310
103
0
20 Sep 2023
Analysis and Optimization of Wireless Federated Learning with Data
  Heterogeneity
Analysis and Optimization of Wireless Federated Learning with Data HeterogeneityIEEE Transactions on Wireless Communications (IEEE TWC), 2023
Xu Han
Jun Li
Wen Chen
Zhen Mei
Kang Wei
Ming Ding
H. Vincent Poor
257
9
0
04 Aug 2023
Communication-Efficient Federated Learning over Capacity-Limited
  Wireless Networks
Communication-Efficient Federated Learning over Capacity-Limited Wireless NetworksIEEE Transactions on Cognitive Communications and Networking (IEEE TCCN), 2023
Jae-Bok Yun
Yong-Nam Oh
Yo-Seb Jeon
H. Vincent Poor
431
5
0
20 Jul 2023
Mobility-Aware Joint User Scheduling and Resource Allocation for Low
  Latency Federated Learning
Mobility-Aware Joint User Scheduling and Resource Allocation for Low Latency Federated LearningInternational Conference on Innovative Computing and Cloud Computing (ICCC), 2023
Kecheng Fan
Wen Chen
Jun Li
Xiumei Deng
Xu Han
Ming Ding
FedML
212
8
0
18 Jul 2023
Gradient Sparsification for Efficient Wireless Federated Learning with
  Differential Privacy
Gradient Sparsification for Efficient Wireless Federated Learning with Differential PrivacyScience China Information Sciences (Sci China Inf Sci), 2023
Kang Wei
Jun Li
Chuan Ma
Ming Ding
Feng Shu
Haitao Zhao
Wen Chen
Hongbo Zhu
FedML
413
11
0
09 Apr 2023
Design of Two-Level Incentive Mechanisms for Hierarchical Federated
  Learning
Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning
Shunfeng Chu
Jun Li
Kang Wei
Yuwen Qian
Kunlun Wang
Feng Shu
Wen Chen
FedML
229
3
0
09 Apr 2023
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security
  for Distributed Learning
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed LearningProceedings of the IEEE (Proc. IEEE), 2022
Chuan Ma
Jun Li
Kang Wei
Bo Liu
Ming Ding
Long Yuan
Zhu Han
H. Vincent Poor
445
77
0
18 Feb 2022
Incentive Mechanism Design for Joint Resource Allocation in
  Blockchain-based Federated Learning
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-based Federated LearningIEEE Transactions on Parallel and Distributed Systems (TPDS), 2022
Zhilin Wang
Qin Hu
Ruinian Li
Minghui Xu
Zehui Xiong
FedML
274
89
0
18 Feb 2022
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