Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2305.06784
Cited By
Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning
11 May 2023
Xiaoli Tang
Han Yu
FedML
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning"
8 / 8 papers shown
Title
Ten Challenging Problems in Federated Foundation Models
Tao Fan
Hanlin Gu
Xuemei Cao
Chee Seng Chan
Qian Chen
...
Y. Zhang
Xiaojin Zhang
Zhenzhe Zheng
Lixin Fan
Qiang Yang
FedML
75
4
0
14 Feb 2025
Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning
Xiaoli Tang
Han Yu
Xiaoxiao Li
FedML
20
4
0
09 May 2024
Advances and Open Challenges in Federated Learning with Foundation Models
Chao Ren
Han Yu
Hongyi Peng
Xiaoli Tang
Anran Li
...
A. Tan
Bo Zhao
Xiaoxiao Li
Zengxiang Li
Qiang Yang
FedML
AIFin
AI4CE
68
6
0
23 Apr 2024
Intelligent Agents for Auction-based Federated Learning: A Survey
Xiaoli Tang
Han Yu
Xiaoxiao Li
Sarit Kraus
FedML
23
7
0
20 Apr 2024
Multi-Session Budget Optimization for Forward Auction-based Federated Learning
Xiaoli Tang
Han Yu
59
8
0
21 Nov 2023
Hire When You Need to: Gradual Participant Recruitment for Auction-based Federated Learning
Xavier Tan
Han Yu
FedML
27
3
0
04 Oct 2023
Federated Learning Incentive Mechanism under Buyers' Auction Market
Jiaxi Yang
Zihao Guo
Sheng Cao
Cuifang Zhao
Li-Chuan Tsai
FedML
6
3
0
10 Sep 2023
Online Auction-Based Incentive Mechanism Design for Horizontal Federated Learning with Budget Constraint
Jingwen Zhang
Yuezhou Wu
Rong Pan
FedML
63
15
0
22 Jan 2022
1