TPFL: A Trustworthy Personalized Federated Learning Framework via Subjective Logic
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Jinqian, Zhu, Jihua |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
by: Gohari, Rasoul Jafari, et al.
Published: (2024)
by: Gohari, Rasoul Jafari, et al.
Published: (2024)
Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data
by: Ahn, Seyoung, et al.
Published: (2022)
by: Ahn, Seyoung, et al.
Published: (2022)
Personalized Federated Learning via ADMM with Moreau Envelope
by: Zhu, Shengkun, et al.
Published: (2023)
by: Zhu, Shengkun, et al.
Published: (2023)
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
by: Zhu, Guogang, et al.
Published: (2024)
by: Zhu, Guogang, et al.
Published: (2024)
Hypernetworks for Model-Heterogeneous Personalized Federated Learning
by: Zhang, Chen, et al.
Published: (2025)
by: Zhang, Chen, et al.
Published: (2025)
Analytic Personalized Federated Meta-Learning
by: Gu, Shunxian, et al.
Published: (2025)
by: Gu, Shunxian, et al.
Published: (2025)
The Diversity Bonus: Learning from Dissimilar Distributed Clients in Personalized Federated Learning
by: Wu, Xinghao, et al.
Published: (2024)
by: Wu, Xinghao, et al.
Published: (2024)
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients
by: Liang, Han, et al.
Published: (2024)
by: Liang, Han, et al.
Published: (2024)
Towards Trustworthy Federated Learning
by: Basharat, Alina, et al.
Published: (2025)
by: Basharat, Alina, et al.
Published: (2025)
Personalized Interpretation on Federated Learning: A Virtual Concepts approach
by: Yan, Peng, et al.
Published: (2024)
by: Yan, Peng, et al.
Published: (2024)
FedPeWS: Personalized Warmup via Subnetworks for Enhanced Heterogeneous Federated Learning
by: Tastan, Nurbek, et al.
Published: (2024)
by: Tastan, Nurbek, et al.
Published: (2024)
Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation
by: Wang, Jiaqi, et al.
Published: (2024)
by: Wang, Jiaqi, et al.
Published: (2024)
TDC-Cache: A Trustworthy Decentralized Cooperative Caching Framework for Web3.0
by: Chen, Jinyu, et al.
Published: (2025)
by: Chen, Jinyu, et al.
Published: (2025)
Asynchronous Personalized Federated Learning through Global Memorization
by: Wan, Fan, et al.
Published: (2025)
by: Wan, Fan, et al.
Published: (2025)
Flexible Personalized Split Federated Learning for On-Device Fine-Tuning of Foundation Models
by: Yuan, Tianjun, et al.
Published: (2025)
by: Yuan, Tianjun, et al.
Published: (2025)
Addressing Skewed Heterogeneity via Federated Prototype Rectification with Personalization
by: Guo, Shunxin, et al.
Published: (2024)
by: Guo, Shunxin, et al.
Published: (2024)
Machine Learning-Driven Predictive Resource Management in Complex Science Workflows
by: Chowdhury, Tasnuva, et al.
Published: (2025)
by: Chowdhury, Tasnuva, et al.
Published: (2025)
DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
by: Yang, Xu, et al.
Published: (2024)
by: Yang, Xu, et al.
Published: (2024)
MAP: Model Aggregation and Personalization in Federated Learning with Incomplete Classes
by: Li, Xin-Chun, et al.
Published: (2024)
by: Li, Xin-Chun, et al.
Published: (2024)
Adaptive Client Selection with Personalization for Communication Efficient Federated Learning
by: de Souza, Allan M., et al.
Published: (2024)
by: de Souza, Allan M., et al.
Published: (2024)
CSAFL: A Clustered Semi-Asynchronous Federated Learning Framework
by: Zhang, Yu, et al.
Published: (2021)
by: Zhang, Yu, et al.
Published: (2021)
Convergence-Privacy-Fairness Trade-Off in Personalized Federated Learning
by: Zhao, Xiyu, et al.
Published: (2025)
by: Zhao, Xiyu, et al.
Published: (2025)
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning
by: Guo, Shunxin, et al.
Published: (2025)
by: Guo, Shunxin, et al.
Published: (2025)
Personalized Semi-Supervised Federated Learning for Human Activity Recognition
by: Presotto, Riccardo, et al.
Published: (2021)
by: Presotto, Riccardo, et al.
Published: (2021)
A Bayesian Framework for Clustered Federated Learning
by: Wu, Peng, et al.
Published: (2024)
by: Wu, Peng, et al.
Published: (2024)
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
by: Zhang, Jianqing, et al.
Published: (2023)
by: Zhang, Jianqing, et al.
Published: (2023)
Towards Trustworthy Federated Learning with Untrusted Participants
by: Allouah, Youssef, et al.
Published: (2025)
by: Allouah, Youssef, et al.
Published: (2025)
SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning
by: Li, Nan, et al.
Published: (2025)
by: Li, Nan, et al.
Published: (2025)
Personalized Federated Domain-Incremental Learning based on Adaptive Knowledge Matching
by: Li, Yichen, et al.
Published: (2024)
by: Li, Yichen, et al.
Published: (2024)
Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting
by: Li, Yi, et al.
Published: (2026)
by: Li, Yi, et al.
Published: (2026)
Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis
by: Liang, Yipeng, et al.
Published: (2024)
by: Liang, Yipeng, et al.
Published: (2024)
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning
by: Yi, Liping, et al.
Published: (2024)
by: Yi, Liping, et al.
Published: (2024)
Personalized Federated Learning via Stacking
by: Cantu-Cervini, Emilio
Published: (2024)
by: Cantu-Cervini, Emilio
Published: (2024)
Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization
by: Le, Long Tan, et al.
Published: (2023)
by: Le, Long Tan, et al.
Published: (2023)
Evidential Trust-Aware Model Personalization in Decentralized Federated Learning for Wearable IoT
by: Rangwala, Murtaza, et al.
Published: (2025)
by: Rangwala, Murtaza, et al.
Published: (2025)
A Robust Federated Learning Framework for Undependable Devices at Scale
by: Wang, Shilong, et al.
Published: (2024)
by: Wang, Shilong, et al.
Published: (2024)
Towards Client Driven Federated Learning
by: Li, Songze, et al.
Published: (2024)
by: Li, Songze, et al.
Published: (2024)
FedSAE: A Novel Self-Adaptive Federated Learning Framework in Heterogeneous Systems
by: Li, Li, et al.
Published: (2021)
by: Li, Li, et al.
Published: (2021)
SPARK: Igniting Communication-Efficient Decentralized Learning via Stage-wise Projected NTK and Accelerated Regularization
by: Xia, Li
Published: (2025)
by: Xia, Li
Published: (2025)
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization
by: Ning, Zhiyuan, et al.
Published: (2024)
by: Ning, Zhiyuan, et al.
Published: (2024)
Similar Items
-
TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
by: Gohari, Rasoul Jafari, et al.
Published: (2024) -
Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data
by: Ahn, Seyoung, et al.
Published: (2022) -
Personalized Federated Learning via ADMM with Moreau Envelope
by: Zhu, Shengkun, et al.
Published: (2023) -
DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
by: Zhu, Guogang, et al.
Published: (2024) -
Hypernetworks for Model-Heterogeneous Personalized Federated Learning
by: Zhang, Chen, et al.
Published: (2025)