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Collaborative Machine Learning with Incentive-Aware Model Rewards

Collaborative Machine Learning with Incentive-Aware Model Rewards

24 October 2020
Rachael Hwee Ling Sim
Yehong Zhang
M. Chan
Hsiang Low
    FedML
ArXivPDFHTML

Papers citing "Collaborative Machine Learning with Incentive-Aware Model Rewards"

25 / 25 papers shown
Title
LiveVal: Time-aware Data Valuation via Adaptive Reference Points
LiveVal: Time-aware Data Valuation via Adaptive Reference Points
Jie Xu
Zihan Wu
Cong Wang
Xiaohua Jia
AI4TS
46
0
0
14 Feb 2025
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
Paid with Models: Optimal Contract Design for Collaborative Machine Learning
Bingchen Wang
Zhaoxuan Wu
Fusheng Liu
Bryan Kian Hsiang Low
78
0
0
03 Jan 2025
A Comprehensive Study of Shapley Value in Data Analytics
A Comprehensive Study of Shapley Value in Data Analytics
Hong Lin
Shixin Wan
Zhongle Xie
Ke Chen
Meihui Zhang
Lidan Shou
Gang Chen
95
0
0
02 Dec 2024
Redefining Contributions: Shapley-Driven Federated Learning
Redefining Contributions: Shapley-Driven Federated Learning
Nurbek Tastan
Samar Fares
Toluwani Aremu
Samuel Horváth
Karthik Nandakumar
FedML
33
4
0
01 Jun 2024
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
FACT or Fiction: Can Truthful Mechanisms Eliminate Federated Free Riding?
Marco Bornstein
Amrit Singh Bedi
Abdirisak Mohamed
Furong Huang
FedML
36
0
0
22 May 2024
FedImpro: Measuring and Improving Client Update in Federated Learning
FedImpro: Measuring and Improving Client Update in Federated Learning
Zhenheng Tang
Yonggang Zhang
S. Shi
Xinmei Tian
Tongliang Liu
Bo Han
Xiaowen Chu
FedML
19
13
0
10 Feb 2024
Towards Fair, Robust and Efficient Client Contribution Evaluation in
  Federated Learning
Towards Fair, Robust and Efficient Client Contribution Evaluation in Federated Learning
Meiying Zhang
Huan Zhao
Sheldon C Ebron
Kan Yang
FedML
13
2
0
06 Feb 2024
On the Effect of Defections in Federated Learning and How to Prevent
  Them
On the Effect of Defections in Federated Learning and How to Prevent Them
Minbiao Han
Kumar Kshitij Patel
Han Shao
Lingxiao Wang
FedML
33
3
0
28 Nov 2023
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions
Weiming Zhuang
Chen Chen
Lingjuan Lyu
C. L. P. Chen
Yaochu Jin
Lingjuan Lyu
AIFin
AI4CE
99
85
0
27 Jun 2023
Fair yet Asymptotically Equal Collaborative Learning
Fair yet Asymptotically Equal Collaborative Learning
Xiaoqiang Lin
Xinyi Xu
See-Kiong Ng
Chuan-Sheng Foo
Bryan Kian Hsiang Low
FedML
16
7
0
09 Jun 2023
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
DU-Shapley: A Shapley Value Proxy for Efficient Dataset Valuation
Felipe Garrido-Lucero
Benjamin Heymann
Maxime Vono
P. Loiseau
Vianney Perchet
FedML
TDI
37
3
0
03 Jun 2023
A Framework for Incentivized Collaborative Learning
A Framework for Incentivized Collaborative Learning
Xinran Wang
Qi Le
Ahmad Faraz Khan
Jie Ding
A. Anwar
FedML
37
4
0
26 May 2023
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Data-OOB: Out-of-bag Estimate as a Simple and Efficient Data Value
Yongchan Kwon
James Y. Zou
TDI
FedML
31
35
0
16 Apr 2023
Probably Approximate Shapley Fairness with Applications in Machine
  Learning
Probably Approximate Shapley Fairness with Applications in Machine Learning
Zijian Zhou
Xinyi Xu
Rachael Hwee Ling Sim
Chuan-Sheng Foo
K. H. Low
TDI
18
9
0
01 Dec 2022
CS-Shapley: Class-wise Shapley Values for Data Valuation in
  Classification
CS-Shapley: Class-wise Shapley Values for Data Valuation in Classification
S. Schoch
Haifeng Xu
Yangfeng Ji
TDI
18
24
0
13 Nov 2022
Privacy-Preserving Machine Learning for Collaborative Data Sharing via
  Auto-encoder Latent Space Embeddings
Privacy-Preserving Machine Learning for Collaborative Data Sharing via Auto-encoder Latent Space Embeddings
A. M. Quintero-Ossa
Jesus Solano
Hernán Jarcía
David Zarruk
Alejandro Correa-Bahnsen
C. Valencia
FedML
19
1
0
10 Nov 2022
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations
  Among Team Members
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse
Thomas Rood
Mateusz Malinowski
Yoram Bachrach
Tal Kachman
35
10
0
18 Aug 2022
Mechanisms that Incentivize Data Sharing in Federated Learning
Mechanisms that Incentivize Data Sharing in Federated Learning
Sai Praneeth Karimireddy
Wenshuo Guo
Michael I. Jordan
FedML
25
44
0
10 Jul 2022
On the Convergence of the Shapley Value in Parametric Bayesian Learning
  Games
On the Convergence of the Shapley Value in Parametric Bayesian Learning Games
Lucas Agussurja
Xinyi Xu
K. H. Low
FAtt
16
13
0
16 May 2022
Incentivizing Collaboration in Machine Learning via Synthetic Data
  Rewards
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
Sebastian Shenghong Tay
Xinyi Xu
Chuan-Sheng Foo
Bryan Kian Hsiang Low
SyDa
19
32
0
17 Dec 2021
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for
  Machine Learning
Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning
Yongchan Kwon
James Y. Zou
TDI
33
122
0
26 Oct 2021
Data Pricing in Machine Learning Pipelines
Data Pricing in Machine Learning Pipelines
Zicun Cong
Xuan Luo
J. Pei
Feida Zhu
Yong Zhang
26
46
0
18 Aug 2021
Faithful Edge Federated Learning: Scalability and Privacy
Faithful Edge Federated Learning: Scalability and Privacy
Meng Zhang
Ermin Wei
R. Berry
FedML
15
44
0
30 Jun 2021
A Reputation Mechanism Is All You Need: Collaborative Fairness and
  Adversarial Robustness in Federated Learning
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning
Xinyi Xu
Lingjuan Lyu
FedML
18
69
0
20 Nov 2020
Feature Inference Attack on Model Predictions in Vertical Federated
  Learning
Feature Inference Attack on Model Predictions in Vertical Federated Learning
Xinjian Luo
Yuncheng Wu
Xiaokui Xiao
Beng Chin Ooi
FedML
AAML
11
218
0
20 Oct 2020
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