Cover Image

Clust-PSI-PFL: A Population Stability Index Approach for Clustered Non-IID Personalized Federated Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jimenez-Gutierrez, Daniel M., Hassanzadeh, Mehrdad, Solans, David, Elbamby, Mohammed, Kourtellis, Nicolas, Anagnostopoulos, Aris, Chatzigiannakis, Ioannis, Vitaletti, Andrea
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing Applications
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)

PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning
by: Jimenez-Gutierrez, Daniel-M., et al.
Published: (2025)

On the Security and Privacy of Federated Learning: A Survey with Attacks, Defenses, Frameworks, Applications, and Future Directions
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)

FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
by: Islam, Md Sirajul, et al.
Published: (2024)

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
by: Li, Xiaochen, et al.
Published: (2024)

DA-PFL: Dynamic Affinity Aggregation for Personalized Federated Learning
by: Yang, Xu, et al.
Published: (2024)

Share a Tiny Space of Your Freezer to Increase Resilience of Ex-situ Seed Conservation
by: Vitaletti, Andrea
Published: (2025)

Privacy-Preserving Federated Heavy Hitter Analytics for Non-IID Data
by: Shao, Jiaqi, et al.
Published: (2023)

BFLN: A Blockchain-based Federated Learning Model for Non-IID Data
by: Li, Yang, et al.
Published: (2024)

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
by: Wang, Shilong, et al.
Published: (2025)

HuntMS: A Framework for Microservice Geo-Distribution for Carbon and Cost Reduction
by: Christofidi, Georgia, et al.
Published: (2026)

FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering
by: Islam, Md Sirajul, et al.
Published: (2024)

Optimization of Federated Learning's Client Selection for Non-IID Data Based on Grey Relational Analysis
by: Chen, Shuaijun, et al.
Published: (2023)

Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data
by: Ng, Jer Shyuan, et al.
Published: (2025)

Scalable Data Assimilation with Message Passing
by: Key, Oscar, et al.
Published: (2024)

Chopin: An Open Source R-language Tool to Support Spatial Analysis on Parallelizable Infrastructure
by: Song, Insang, et al.
Published: (2024)

A Biased Estimator for MinMax Sampling and Distributed Aggregation
by: Wolfrath, Joel, et al.
Published: (2024)

RCC-PFL: Robust Client Clustering under Noisy Labels in Personalized Federated Learning
by: Ali, Abdulmoneam, et al.
Published: (2025)

Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
by: Lee, Seunghyun, et al.
Published: (2025)

A Thorough Assessment of the Non-IID Data Impact in Federated Learning
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)

PSI/J: A Portable Interface for Submitting, Monitoring, and Managing Jobs
by: Hategan-Marandiuc, Mihael, et al.
Published: (2023)

SemiSFL: Split Federated Learning on Unlabeled and Non-IID Data
by: Xu, Yang, et al.
Published: (2023)

Federated Distillation on Edge Devices: Efficient Client-Side Filtering for Non-IID Data
by: Mujtaba, Ahmed, et al.
Published: (2025)

ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
by: Farahani, Reza, et al.
Published: (2026)

TPFL: Tsetlin-Personalized Federated Learning with Confidence-Based Clustering
by: Gohari, Rasoul Jafari, et al.
Published: (2024)

Efficient Query Verification for Blockchain Superlight Clients Using SNARKs
by: De Angelis, Stefano, et al.
Published: (2025)

Megha: Decentralized Global Fair Scheduling for Federated Clusters
by: Thiyyakat, Meghana, et al.
Published: (2021)

Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation
by: Wang, Jiaqi, et al.
Published: (2024)

Personalized Federated Learning on Data with Dynamic Heterogeneity under Limited Storage
by: Tan, Sixing, et al.
Published: (2024)

FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
by: AbouNassar, Eman M., et al.
Published: (2026)

Time- and Space-Optimal Silent Self-Stabilizing Exact Majority in Population Protocols
by: Kanaya, Haruki, et al.
Published: (2025)

Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach
by: Chen, Jundong, et al.
Published: (2025)

FedHC: A Hierarchical Clustered Federated Learning Framework for Satellite Networks
by: Liu, Zhuocheng, et al.
Published: (2025)

Decentralized Personalization for Federated Medical Image Segmentation via Gossip Contrastive Mutual Learning
by: Chen, Jingyun, et al.
Published: (2025)

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning
by: Lan, Muhang, et al.
Published: (2025)

ALANINE: A Novel Decentralized Personalized Federated Learning For Heterogeneous LEO Satellite Constellation
by: Zhao, Liang, et al.
Published: (2024)

Dynamic Client Clustering, Bandwidth Allocation, and Workload Optimization for Semi-synchronous Federated Learning
by: Yu, Liangkun, et al.
Published: (2024)

A Space-Time Trade-off for Fast Self-Stabilizing Leader Election in Population Protocols
by: Austin, Henry, et al.
Published: (2025)

FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
by: Wu, Zhiyuan, et al.
Published: (2023)

Self-Regulating Random Walks for Resilient Decentralized Learning on Graphs
by: Egger, Maximilian, et al.
Published: (2024)