Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Fuente:
arXiv
Saved in:
| Main Authors: | Dorner, Florian E., Konstantinov, Nikola, Pashaliev, Georgi, Vechev, Martin |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Incentivizing Truthful Collaboration in Heterogeneous Federated Learning
by: Chakarov, Dimitar, et al.
Published: (2024)
by: Chakarov, Dimitar, et al.
Published: (2024)
Defection-Free Collaboration between Competitors in a Learning System
by: Werner, Mariel, et al.
Published: (2024)
by: Werner, Mariel, et al.
Published: (2024)
Incentivized Collaboration in Active Learning
by: Cohen, Lee, et al.
Published: (2023)
by: Cohen, Lee, et al.
Published: (2023)
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
by: Tsoy, Nikita, et al.
Published: (2024)
by: Tsoy, Nikita, et al.
Published: (2024)
Incentive-Theoretic Bayesian Inference for Collaborative Science
by: Bates, Stephen, et al.
Published: (2023)
by: Bates, Stephen, et al.
Published: (2023)
Position: Machine Learning for Heart Transplant Allocation Policy Optimization Should Account for Incentives
by: Anagnostides, Ioannis, et al.
Published: (2026)
by: Anagnostides, Ioannis, et al.
Published: (2026)
Incentivized Learning in Principal-Agent Bandit Games
by: Scheid, Antoine, et al.
Published: (2024)
by: Scheid, Antoine, et al.
Published: (2024)
Learning to Lead: Incentivizing Strategic Agents in the Dark
by: Wu, Yuchen, et al.
Published: (2025)
by: Wu, Yuchen, et al.
Published: (2025)
Strategic Incentivization for Locally Differentially Private Federated Learning
by: Pagoti, Yashwant Krishna, et al.
Published: (2025)
by: Pagoti, Yashwant Krishna, et al.
Published: (2025)
Geometry Meets Incentives: Sample-Efficient Incentivized Exploration with Linear Contexts
by: Schiffer, Benjamin, et al.
Published: (2025)
by: Schiffer, Benjamin, et al.
Published: (2025)
Learning to Incentivize in Repeated Principal-Agent Problems with Adversarial Agent Arrivals
by: Liu, Junyan, et al.
Published: (2025)
by: Liu, Junyan, et al.
Published: (2025)
Prior-Agnostic Incentive-Compatible Exploration
by: Ramalingam, Ramya, et al.
Published: (2026)
by: Ramalingam, Ramya, et al.
Published: (2026)
Incentivized Truthful Communication for Federated Bandits
by: Wei, Zhepei, et al.
Published: (2024)
by: Wei, Zhepei, et al.
Published: (2024)
Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning
by: Shi, Zhuan, et al.
Published: (2024)
by: Shi, Zhuan, et al.
Published: (2024)
Incentivizing Exploration with Linear Contexts and Combinatorial Actions
by: Sellke, Mark
Published: (2023)
by: Sellke, Mark
Published: (2023)
Incentive-compatible Bandits: Importance Weighting No More
by: Zimmert, Julian, et al.
Published: (2024)
by: Zimmert, Julian, et al.
Published: (2024)
Incentivizing Time-Aware Fairness in Data Sharing
by: Chen, Jiangwei, et al.
Published: (2025)
by: Chen, Jiangwei, et al.
Published: (2025)
Deep Incentive Design with Differentiable Equilibrium Blocks
by: Thoma, Vinzenz, et al.
Published: (2026)
by: Thoma, Vinzenz, et al.
Published: (2026)
Adversaries With Incentives: A Strategic Alternative to Adversarial Robustness
by: Ehrenberg, Maayan, et al.
Published: (2024)
by: Ehrenberg, Maayan, et al.
Published: (2024)
Incentivizing High-Quality Human Annotations with Golden Questions
by: Liu, Shang, et al.
Published: (2025)
by: Liu, Shang, et al.
Published: (2025)
Improved Bandits in Many-to-one Matching Markets with Incentive Compatibility
by: Kong, Fang, et al.
Published: (2024)
by: Kong, Fang, et al.
Published: (2024)
Leaderboard Incentives: Model Rankings under Strategic Post-Training
by: Chen, Yatong, et al.
Published: (2026)
by: Chen, Yatong, et al.
Published: (2026)
Robust and Performance Incentivizing Algorithms for Multi-Armed Bandits with Strategic Agents
by: Esmaeili, Seyed A., et al.
Published: (2023)
by: Esmaeili, Seyed A., et al.
Published: (2023)
Incentive-Aware Dynamic Resource Allocation under Long-Term Cost Constraints
by: Dai, Yan, et al.
Published: (2025)
by: Dai, Yan, et al.
Published: (2025)
Used Car Salesbots? Honesty and Credulity of LLMs as Bargaining Agents under Partial Information
by: Miceli-Barone, Antonio Valerio, et al.
Published: (2026)
by: Miceli-Barone, Antonio Valerio, et al.
Published: (2026)
Knowledge-Free Correlated Agreement for Incentivizing Federated Learning
by: Witt, Leon, et al.
Published: (2026)
by: Witt, Leon, et al.
Published: (2026)
Gradient Manipulation in Distributed Stochastic Gradient Descent with Strategic Agents: Truthful Incentives with Convergence Guarantees
by: Chen, Ziqin, et al.
Published: (2026)
by: Chen, Ziqin, et al.
Published: (2026)
Incentive-Aware Synthetic Control: Accurate Counterfactual Estimation via Incentivized Exploration
by: Ngo, Daniel, et al.
Published: (2023)
by: Ngo, Daniel, et al.
Published: (2023)
A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
by: Commey, Daniel, et al.
Published: (2025)
by: Commey, Daniel, et al.
Published: (2025)
Balancing of competitive two-player Game Levels with Reinforcement Learning
by: Rupp, Florian, et al.
Published: (2023)
by: Rupp, Florian, et al.
Published: (2023)
Incentivize Contribution and Learn Parameters Too: Federated Learning with Strategic Data Owners
by: Doshi, Drashthi, et al.
Published: (2025)
by: Doshi, Drashthi, et al.
Published: (2025)
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning
by: Chen, Mengmeng, et al.
Published: (2024)
by: Chen, Mengmeng, et al.
Published: (2024)
A Service-Oriented Adaptive Hierarchical Incentive Mechanism for Federated Learning
by: Cao, Jiaxing, et al.
Published: (2025)
by: Cao, Jiaxing, et al.
Published: (2025)
Federated Learning for Data Market: Shapley-UCB for Seller Selection and Incentives
by: Chen, Kongyang, et al.
Published: (2024)
by: Chen, Kongyang, et al.
Published: (2024)
Incentivizing Desirable Effort Profiles in Strategic Classification: The Role of Causality and Uncertainty
by: Efthymiou, Valia, et al.
Published: (2025)
by: Efthymiou, Valia, et al.
Published: (2025)
How Can Incentives and Cut Layer Selection Influence Data Contribution in Split Federated Learning?
by: Lee, Joohyung, et al.
Published: (2024)
by: Lee, Joohyung, et al.
Published: (2024)
Incentivizing High-Quality Content in Online Recommender Systems
by: Hu, Xinyan, et al.
Published: (2023)
by: Hu, Xinyan, et al.
Published: (2023)
Incentivizing Quality Text Generation via Statistical Contracts
by: Saig, Eden, et al.
Published: (2024)
by: Saig, Eden, et al.
Published: (2024)
Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning
by: Chu, Shunfeng, et al.
Published: (2023)
by: Chu, Shunfeng, et al.
Published: (2023)
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
by: Khan, Afsana, et al.
Published: (2023)
by: Khan, Afsana, et al.
Published: (2023)
Similar Items
-
Incentivizing Truthful Collaboration in Heterogeneous Federated Learning
by: Chakarov, Dimitar, et al.
Published: (2024) -
Defection-Free Collaboration between Competitors in a Learning System
by: Werner, Mariel, et al.
Published: (2024) -
Incentivized Collaboration in Active Learning
by: Cohen, Lee, et al.
Published: (2023) -
Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
by: Tsoy, Nikita, et al.
Published: (2024) -
Incentive-Theoretic Bayesian Inference for Collaborative Science
by: Bates, Stephen, et al.
Published: (2023)