Cover Image

A Coopetitive-Compatible Data Generation Framework for Cross-silo Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Thanh Linh, Pham, Quoc-Viet
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Computational Engineering, Finance, and Science Distributed, Parallel, and Cluster Computing Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Cooperate to Compete: Strategic Data Generation and Incentivization Framework for Coopetitive Cross-Silo Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2026)

Right Reward Right Time for Federated Learning
by: Nguyen, Thanh Linh, et al.
Published: (2025)

Safeguarding the Truth of High-Value Price Oracle Task: A Dynamically Adjusted Truth Discovery Method
by: Xian, Youquan, et al.
Published: (2024)

Accelerating Blockchain Scalability: New Models for Parallel Transaction Execution in the EVM
by: Das, Souradeep, et al.
Published: (2025)

Leveraging Microservices Architecture for Dynamic Pricing in the Travel Industry: Algorithms, Scalability, and Impact on Revenue and Customer Satisfaction
by: Barua, Biman, et al.
Published: (2024)

Decentralized Exchange that Mitigate a Bribery Attack
by: Awathare, Nitin
Published: (2025)

Federated Assemblies
by: Halpern, Daniel, et al.
Published: (2024)

FedCross: Intertemporal Federated Learning Under Evolutionary Games
by: Lu, Jianfeng, et al.
Published: (2024)

Distributed Agreement in the Arrovian Framework
by: Wood, Kenan, et al.
Published: (2024)

A Management Framework for Vehicular Cloudtoward Economic and Environmental Efficiency
by: Patanè, Rosario, et al.
Published: (2025)

Computing the Schulze Method for Large-Scale Preference Data Sets
by: Csar, Theresa, et al.
Published: (2025)

The Bidding Games: Reinforcement Learning for MEV Extraction on Polygon Blockchain
by: Seoev, Andrei, et al.
Published: (2025)

IMFL-AIGC: Incentive Mechanism Design for Federated Learning Empowered by Artificial Intelligence Generated Content
by: Huang, Guangjing, et al.
Published: (2024)

A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States
by: Sun, Daran, et al.
Published: (2026)

Rationally Analyzing Shelby: Proving Incentive Compatibility in a Decentralized Storage Network
by: Crystal, Michael, et al.
Published: (2025)

A Blockchain-based Reliable Federated Meta-learning for Metaverse: A Dual Game Framework
by: Baccour, Emna, et al.
Published: (2024)

Massively Parallel Proof-Number Search for Impartial Games and Beyond
by: Čížek, Tomáš, et al.
Published: (2025)

Dynamic Partial Computation Offloading for the Metaverse in In-Network Computing
by: Aliyu, Ibrahim, et al.
Published: (2023)

Effective Two-Stage Double Auction for Dynamic Resource Provision over Edge Networks via Discovering The Power of Overbooking
by: Wu, Sicheng, et al.
Published: (2025)

A mechanism design overview of Sedna
by: Marsh, Benjamin, et al.
Published: (2026)

Distributed MIS Algorithms for Rational Agents using Games
by: Salevemula, Nithin, et al.
Published: (2025)

SNARE: A TRAP for Rational Players to Solve Byzantine Consensus in the 5f+1 Model
by: Ranchal-Pedrosa, Alejandro, et al.
Published: (2026)

Elastic Restaking Networks
by: Bar-Zur, Roi, et al.
Published: (2025)

Towards Rational Consensus in Honest Majority
by: Srivastava, Varul, et al.
Published: (2024)

Timing Games in Responsive Consensus Protocols
by: Alpturer, Kaya, et al.
Published: (2025)

Balancing incentives in committee-based blockchains
by: Baloochestani, Arian, et al.
Published: (2025)

Transaction Fee Market Design for Parallel Execution
by: Acilan, Bahar, et al.
Published: (2025)

Dynamic Fee for Reducing Impermanent Loss in Decentralized Exchanges
by: Lebedeva, Irina, et al.
Published: (2025)

A Treatment of EIP-1559: Enhancing Transaction Fee Mechanism through Nth-Price Auction
by: Li, Kun, et al.
Published: (2024)

Role-Selection Game in Block Production under Proposer-Builder Separation
by: Li, Yanzhen, et al.
Published: (2025)

Centralization in Proof-of-Stake Blockchains: A Game-Theoretic Analysis of Bootstrapping Protocols
by: Srivastava, Varul, et al.
Published: (2024)

Game Dynamics and Equilibrium Computation in the Population Protocol Model
by: Alistarh, Dan, et al.
Published: (2023)

Designing Local Distributed Mechanisms
by: Hirvonen, Juho, et al.
Published: (2024)

Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning
by: Chu, Shunfeng, et al.
Published: (2023)

Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem
by: Khan, Afsana, et al.
Published: (2023)

Mechanism Design for Federated Learning with Non-Monotonic Network Effects
by: Li, Xiang, et al.
Published: (2026)

Mosaic: Client-driven Account Allocation Framework in Sharded Blockchains
by: Zhang, Yuanzhe, et al.
Published: (2025)

Multi-Hop Privacy Propagation for Differentially Private Federated Learning in Social Networks
by: Lin, Chenchen, et al.
Published: (2025)

Efficient Collaborations through Weight-Driven Coalition Dynamics in Federated Learning Systems
by: Hanjri, Mohammed El, et al.
Published: (2024)

Towards Verifiable Federated Unlearning: Framework, Challenges, and The Road Ahead
by: Nguyen, Thanh Linh, et al.
Published: (2025)