Cover Image

OptiGradTrust: Byzantine-Robust Federated Learning with Multi-Feature Gradient Analysis and Reinforcement Learning-Based Trust Weighting

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Karami, Mohammad, Ghassemi, Fatemeh, Kebriaei, Hamed, Azadegan, Hamid
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Trust, Don't Trust, or Flip: Robust Preference-Based Reinforcement Learning with Multi-Expert Feedback
by: Hosseini, Seyed Amir, et al.
Published: (2026)

MedFedPure: A Medical Federated Framework with MAE-based Detection and Diffusion Purification for Inference-Time Attacks
by: Karami, Mohammad, et al.
Published: (2025)

OptiGrad: A Fair and more Efficient Price Elasticity Optimization via a Gradient Based Learning
by: Grari, Vincent, et al.
Published: (2024)

Towards Opinion Shaping: A Deep Reinforcement Learning Approach in Bot-User Interactions
by: Siahkali, Farbod, et al.
Published: (2024)

Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
by: Ghaemi, Hafez, et al.
Published: (2024)

FLTG: Byzantine-Robust Federated Learning via Angle-Based Defense and Non-IID-Aware Weighting
by: Wen, Yanhua, et al.
Published: (2025)

Trust-Based Social Learning for Communication (TSLEC) Protocol Evolution in Multi-Agent Reinforcement Learning
by: Weinberg, Abraham Itzhak
Published: (2025)

Byzantine-Robust Aggregation for Securing Decentralized Federated Learning
by: Cajaraville-Aboy, Diego, et al.
Published: (2024)

Trust-based Consensus in Multi-Agent Reinforcement Learning Systems
by: Fung, Ho Long, et al.
Published: (2022)

GradMAP: Gradient-Based Multi-Agent Proximal Learning for Grid-Edge Flexibility
by: Zhou, Yihong, et al.
Published: (2026)

Developing and Integrating Trust Modeling into Multi-Objective Reinforcement Learning for Intelligent Agricultural Management
by: Wang, Zhaoan, et al.
Published: (2025)

GradAlign: Gradient-Aligned Data Selection for LLM Reinforcement Learning
by: Yang, Ningyuan, et al.
Published: (2026)

Multi-Modal Transformer and Reinforcement Learning-based Beam Management
by: Ghassemi, Mohammad, et al.
Published: (2024)

Beyond Trusting Trust: Multi-Model Validation for Robust Code Generation
by: McDanel, Bradley
Published: (2025)

Trust-Based Incentive Mechanisms in Semi-Decentralized Federated Learning Systems
by: Shrestha, Ajay Kumar
Published: (2026)

Multi-Axis Trust Modeling for Interpretable Account Hijacking Detection
by: AL-Smadi, Mohammad
Published: (2026)

Trust Driven On-Demand Scheme for Client Deployment in Federated Learning
by: Chahoud, Mario, et al.
Published: (2024)

A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
by: Zhao, Puning, et al.
Published: (2023)

Understanding Byzantine Robustness in Federated Learning with A Black-box Server
by: Zhao, Fangyuan, et al.
Published: (2024)

From Privacy to Trust in the Agentic Era: A Taxonomy of Challenges in Trustworthy Federated Learning Through the Lens of Trust Report 2.0
by: Rodríguez-Barroso, Nuria, et al.
Published: (2025)

GradMetaNet: An Equivariant Architecture for Learning on Gradients
by: Gelberg, Yoav, et al.
Published: (2025)

Trust Your Memory: Verifiable Control of Smart Homes through Reinforcement Learning with Multi-dimensional Rewards
by: Guo, Kai-Yuan, et al.
Published: (2026)

FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy
by: Reyes-Amezcua, Ivan, et al.
Published: (2026)

Trust-MARL: Trust-Based Multi-Agent Reinforcement Learning Framework for Cooperative On-Ramp Merging Control in Heterogeneous Traffic Flow
by: Pan, Jie, et al.
Published: (2025)

Dynamic Evidence Decoupling for Trusted Multi-view Learning
by: Liu, Ying, et al.
Published: (2024)

OptiLeak: Efficient Prompt Reconstruction via Reinforcement Learning in Multi-tenant LLM Services
by: Wang, Longxiang, et al.
Published: (2026)

On the Byzantine-Resilience of Distillation-Based Federated Learning
by: Roux, Christophe, et al.
Published: (2024)

Diffusion Policies creating a Trust Region for Offline Reinforcement Learning
by: Chen, Tianyu, et al.
Published: (2024)

Random Policy Enables In-Context Reinforcement Learning within Trust Horizons
by: Chen, Weiqin, et al.
Published: (2024)

Byzantine-Robust Federated Learning Using Generative Adversarial Networks
by: Zafar, Usama, et al.
Published: (2025)

Gradient Inversion in Federated Reinforcement Learning
by: He, Shenghong
Published: (2025)

When (and How) to Trust the Expert: Diagnosing Query-Time Expert-Guided Reinforcement Learning
by: Berthelot, Yann, et al.
Published: (2026)

Trust Region Masking for Long-Horizon LLM Reinforcement Learning
by: Li, Yingru, et al.
Published: (2025)

Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems
by: Cassano, Lorenzo, et al.
Published: (2024)

Certifiably Byzantine-Robust Federated Conformal Prediction
by: Kang, Mintong, et al.
Published: (2024)

TrustGuard: GNN-based Robust and Explainable Trust Evaluation with Dynamicity Support
by: Wang, Jie, et al.
Published: (2023)

Trust, But Verify: A Self-Verification Approach to Reinforcement Learning with Verifiable Rewards
by: Liu, Xiaoyuan, et al.
Published: (2025)

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
by: Marton, Sascha, et al.
Published: (2023)

Learning When to Trust in Contextual Bandits
by: Ghasemi, Majid, et al.
Published: (2026)

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning
by: Jia, Ziye, et al.
Published: (2025)