Cover Image

pFedGame -- Decentralized Federated Learning using Game Theory in Dynamic Topology

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Behera, Monik Raj, Chakraborty, Suchetana
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Cryptography and Security Computer Science and Game Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Game Theory for Adversarial Attacks and Defenses
by: Sharma, Shorya
Published: (2021)

Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
by: Li, Tao, et al.
Published: (2024)

FedSV: Byzantine-Robust Federated Learning via Shapley Value
by: Otmani, Khaoula, et al.
Published: (2025)

A Game-theoretic Framework for Privacy-preserving Federated Learning
by: Zhang, Xiaojin, et al.
Published: (2023)

Inception: Efficiently Computable Misinformation Attacks on Markov Games
by: McMahan, Jeremy, et al.
Published: (2024)

Mitigating Backdoor Attacks in Federated Learning Using PPA and MiniMax Game Theory
by: Wehbi, Osama, et al.
Published: (2026)

On the Fragility of Contribution Score Computation in Federated Learning
by: Pejo, Balazs, et al.
Published: (2025)

Private and Robust Contribution Evaluation in Federated Learning
by: Velez, Delio Jaramillo, et al.
Published: (2026)

Stackelberg Game Based Performance Optimization in Digital Twin Assisted Federated Learning over NOMA Networks
by: Wu, Bibo, et al.
Published: (2025)

A Bayesian Incentive Mechanism for Poison-Resilient Federated Learning
by: Commey, Daniel, et al.
Published: (2025)

Differentially Private Equilibrium Finding in Polymatrix Games
by: Liu, Mingyang, et al.
Published: (2025)

Provable Mutual Benefits from Federated Learning in Privacy-Sensitive Domains
by: Tsoy, Nikita, et al.
Published: (2024)

The Fair Value of Data Under Heterogeneous Privacy Constraints in Federated Learning
by: Kang, Justin, et al.
Published: (2023)

Orbital Escalation: Modeling Satellite Ransomware Attacks Using Game Theory
by: López-Morales, Efrén
Published: (2026)

Privacy-Aware Data Acquisition under Data Similarity in Regression Markets
by: Pandey, Shashi Raj, et al.
Published: (2023)

Decentralized Intelligence in GameFi: Embodied AI Agents and the Convergence of DeFi and Virtual Ecosystems
by: Jia, Fernando, et al.
Published: (2024)

Game-Theoretically Secure Distributed Protocols for Fair Allocation in Coalitional Games
by: Chan, T-H. Hubert, et al.
Published: (2024)

Foundations of Cyber Resilience: The Confluence of Game, Control, and Learning Theories
by: Zhu, Quanyan
Published: (2024)

A Multi-Resolution Dynamic Game Framework for Cross-Echelon Decision-Making in Cyber Warfare
by: Yang, Ya-Ting, et al.
Published: (2025)

Game-Theoretic Cybersecurity: the Good, the Bad and the Ugly
by: Collins, Brandon, et al.
Published: (2024)

A Game-Theoretic Approach to the Study of Blockchain's Robustness
by: Pavloff, Ulysse
Published: (2024)

A Game-Theoretic Approach for Security Control Selection
by: Léveillé, Dylan, et al.
Published: (2024)

Privacy-Preserving Distributed Optimization and Learning
by: Chen, Ziqin, et al.
Published: (2024)

Optimal Attack and Defense for Reinforcement Learning
by: McMahan, Jeremy, et al.
Published: (2023)

The Cyber Alliance Game: How Alliances Influence Cyber-Warfare
by: Benkő, Gergely, et al.
Published: (2024)

Bi-Level Game-Theoretic Planning of Cyber Deception for Cognitive Arbitrage
by: Yang, Ya-Ting, et al.
Published: (2025)

Game-Theoretic Analysis of Transaction Selection in DAG-Based Distributed Ledgers
by: Müller, Sebastian, et al.
Published: (2026)

Defending Against Poisoning Attacks in Federated Learning with Blockchain
by: Dong, Nanqing, et al.
Published: (2023)

CyGym: A Simulation-Based Game-Theoretic Analysis Framework for Cybersecurity
by: Lanier, Michael, et al.
Published: (2025)

Game-Theoretic Modeling of Stealthy Intrusion Defense against MDP-Based Attackers
by: Kouam, Willie, et al.
Published: (2026)

Pseudo-Equilibria, or: How to Stop Worrying About Crypto and Just Analyze the Game
by: Psomas, Alexandros, et al.
Published: (2025)

DPVS-Shapley:Faster and Universal Contribution Evaluation Component in Federated Learning
by: Yin, Ketin, et al.
Published: (2024)

Data Poisoning to Fake a Nash Equilibrium in Markov Games
by: Wu, Young, et al.
Published: (2023)

A Game-Theoretic Analysis of Auditing Differentially Private Algorithms with Epistemically Disparate Herd
by: Yang, Ya-Ting, et al.
Published: (2024)

Trustless Provenance Trees: A Game-Theoretic Framework for Operator-Gated Blockchain Registries
by: Moore, Ian C.
Published: (2026)

Steganography and Probabilistic Risk Analysis: A Game Theoretical Framework for Quantifying Adversary Advantage and Impact
by: Omego, Obinna, et al.
Published: (2024)

Hollow Victory: How Malicious Proposers Exploit Validator Incentives in Optimistic Rollup Dispute Games
by: Lee, Suhyeon
Published: (2025)

Watermarking Game-Playing Agents in Perfect-Information Extensive-Form Games
by: Kim, Juho, et al.
Published: (2026)

The Critical Node Game
by: Dragotto, Gabriele, et al.
Published: (2023)

Learning Near-Optimal Intrusion Responses Against Dynamic Attackers
by: Hammar, Kim, et al.
Published: (2023)