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Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated
  Split Learning

Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning

IEEE Transactions on Communications (IEEE Trans. Commun.), 2022
2 September 2022
Benshun Yin
Zhiyong Chen
M. Tao
    FedML
ArXiv (abs)PDFHTMLGithub

Papers citing "Predictive GAN-powered Multi-Objective Optimization for Hybrid Federated Split Learning"

11 / 11 papers shown
Accelerating Wireless Distributed Learning via Hybrid Split and Federated Learning Optimization
Accelerating Wireless Distributed Learning via Hybrid Split and Federated Learning Optimization
Kun Guo
X. Li
Xijun Wang
Howard H. Yang
W. Feng
Tony Q.S. Quek
FedML
354
1
0
25 Nov 2025
Model Partition and Resource Allocation for Split Learning in Vehicular
  Edge Networks
Model Partition and Resource Allocation for Split Learning in Vehicular Edge Networks
Lu Yu
Zheng Chang
Yunjian Jia
Geyong Min
261
9
0
11 Nov 2024
WDMoE: Wireless Distributed Mixture of Experts for Large Language Models
WDMoE: Wireless Distributed Mixture of Experts for Large Language Models
Nan Xue
Yaping Sun
Zhiyong Chen
Meixia Tao
Xiaodong Xu
Liang Qian
Shuguang Cui
Wenjun Zhang
Ping Zhang
MoE
190
10
0
11 Nov 2024
Mask-Encoded Sparsification: Mitigating Biased Gradients in
  Communication-Efficient Split Learning
Mask-Encoded Sparsification: Mitigating Biased Gradients in Communication-Efficient Split LearningEuropean Conference on Artificial Intelligence (ECAI), 2024
Wenxuan Zhou
Zhihao Qu
Shen-Huan Lyu
Miao Cai
Baoliu Ye
390
1
0
25 Aug 2024
FedsLLM: Federated Split Learning for Large Language Models over
  Communication Networks
FedsLLM: Federated Split Learning for Large Language Models over Communication Networks
Kai Zhao
Zhaohui Yang
Chongwen Huang
Xiaoming Chen
Zhaoyang Zhang
208
11
0
12 Jul 2024
CollaFuse: Collaborative Diffusion Models
CollaFuse: Collaborative Diffusion Models
Simeon Allmendinger
Domenique Zipperling
Lukas Struppek
Niklas Kühl
358
3
0
20 Jun 2024
CollaFuse: Navigating Limited Resources and Privacy in Collaborative
  Generative AI
CollaFuse: Navigating Limited Resources and Privacy in Collaborative Generative AI
Domenique Zipperling
Simeon Allmendinger
Lukas Struppek
Niklas Kühl
365
0
0
29 Feb 2024
Optimal Resource Allocation for U-Shaped Parallel Split Learning
Optimal Resource Allocation for U-Shaped Parallel Split Learning
Song Lyu
Zhengyi Lin
Guanqiao Qu
Xianhao Chen
Xiaoxia Huang
P. Li
416
44
0
17 Aug 2023
Split Federated Learning: Speed up Model Training in Resource-Limited
  Wireless Networks
Split Federated Learning: Speed up Model Training in Resource-Limited Wireless NetworksIEEE International Conference on Distributed Computing Systems (ICDCS), 2023
Songge Zhang
Wenchiao Wu
Penghui Hu
Shaofeng Li
Ning Zhang
FedML
79
10
0
30 May 2023
Optimizing Privacy, Utility and Efficiency in Constrained
  Multi-Objective Federated Learning
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning
Weijing Chen
Hanlin Gu
Xingxing Tang
Yuanqin He
Yuzhu Zhang
Jinnan He
Yuxing Han
Lixin Fan
Kai Chen
Qiang Yang
FedML
456
19
0
29 Apr 2023
Probably Approximately Correct Federated Learning
Probably Approximately Correct Federated Learning
Xiaojin Zhang
Anbu Huang
Lixin Fan
Kai Chen
Qiang Yang
FedML
477
5
0
10 Apr 2023
1
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