ProFed: a Benchmark for Proximity-based non-IID Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Domini, Davide, Aguzzi, Gianluca, Viroli, Mirko |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Proximity-based Self-Federated Learning
by: Domini, Davide, et al.
Published: (2024)
by: Domini, Davide, et al.
Published: (2024)
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
by: Domini, Davide, et al.
Published: (2025)
by: Domini, Davide, et al.
Published: (2025)
Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0
by: Domini, Davide, et al.
Published: (2025)
by: Domini, Davide, et al.
Published: (2025)
Phyelds: A Pythonic Framework for Aggregate Computing
by: Aguzzi, Gianluca, et al.
Published: (2026)
by: Aguzzi, Gianluca, et al.
Published: (2026)
MacroSwarm: A Field-based Compositional Framework for Swarm Programming
by: Aguzzi, Gianluca, et al.
Published: (2024)
by: Aguzzi, Gianluca, et al.
Published: (2024)
ProFe: Communication-Efficient Decentralized Federated Learning via Distillation and Prototypes
by: Sánchez, Pedro Miguel Sánchez, et al.
Published: (2024)
by: Sánchez, Pedro Miguel Sánchez, et al.
Published: (2024)
FedPrism: Adaptive Personalized Federated Learning under Non-IID Data
by: Kumbhakar, Prakash, et al.
Published: (2026)
by: Kumbhakar, Prakash, et al.
Published: (2026)
FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
by: AbouNassar, Eman M., et al.
Published: (2026)
by: AbouNassar, Eman M., et al.
Published: (2026)
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
by: Wang, Huan, et al.
Published: (2025)
by: Wang, Huan, et al.
Published: (2025)
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
by: Chen, Yue, et al.
Published: (2025)
by: Chen, Yue, et al.
Published: (2025)
FedTopo: Topology-Informed Representation Alignment in Federated Learning under Non-I.I.D. Conditions
by: Hu, Ke, et al.
Published: (2025)
by: Hu, Ke, et al.
Published: (2025)
FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
by: Zhao, Yushan, et al.
Published: (2025)
by: Zhao, Yushan, et al.
Published: (2025)
FedVeca: Federated Vectorized Averaging on Non-IID Data with Adaptive Bi-directional Global Objective
by: Luo, Ping, et al.
Published: (2022)
by: Luo, Ping, et al.
Published: (2022)
FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
by: Huang, Chenghao, et al.
Published: (2024)
by: Huang, Chenghao, et al.
Published: (2024)
FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis
by: Yan, Guochen, et al.
Published: (2024)
by: Yan, Guochen, et al.
Published: (2024)
Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study
by: Seo, Jungwon, et al.
Published: (2025)
by: Seo, Jungwon, 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)
by: Islam, Md Sirajul, et al.
Published: (2024)
PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning
by: Jimenez-Gutierrez, Daniel-M., et al.
Published: (2025)
by: Jimenez-Gutierrez, Daniel-M., et al.
Published: (2025)
Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
by: Shi, Xiufang, et al.
Published: (2024)
by: Shi, Xiufang, et al.
Published: (2024)
FedSOL: Stabilized Orthogonal Learning with Proximal Restrictions in Federated Learning
by: Lee, Gihun, et al.
Published: (2023)
by: Lee, Gihun, et al.
Published: (2023)
FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning
by: Song, Changlin, et al.
Published: (2024)
by: Song, Changlin, et al.
Published: (2024)
FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)
Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
by: Yan, Xingrun, et al.
Published: (2024)
by: Yan, Xingrun, et al.
Published: (2024)
FedGraph: A Research Library and Benchmark for Federated Graph Learning
by: Yao, Yuhang, et al.
Published: (2024)
by: Yao, Yuhang, et al.
Published: (2024)
ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
by: Ergisi, Sena, et al.
Published: (2025)
by: Ergisi, Sena, et al.
Published: (2025)
Multi-Level Additive Modeling for Structured Non-IID Federated Learning
by: Chen, Shutong, et al.
Published: (2024)
by: Chen, Shutong, et al.
Published: (2024)
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
by: Liao, Xinting, et al.
Published: (2024)
by: Liao, Xinting, et al.
Published: (2024)
Momentum Benefits Non-IID Federated Learning Simply and Provably
by: Cheng, Ziheng, et al.
Published: (2023)
by: Cheng, Ziheng, et al.
Published: (2023)
Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
by: Wong, Hui Yeok, et al.
Published: (2025)
by: Wong, Hui Yeok, et al.
Published: (2025)
Federated Proximal Optimization for Privacy-Preserving Heart Disease Prediction: A Controlled Simulation Study on Non-IID Clinical Data
by: Asad, Farzam, et al.
Published: (2026)
by: Asad, Farzam, et al.
Published: (2026)
FedNoisy: Federated Noisy Label Learning Benchmark
by: Liang, Siqi, et al.
Published: (2023)
by: Liang, Siqi, et al.
Published: (2023)
Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
by: He, Yuting, et al.
Published: (2025)
by: He, Yuting, 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)
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
by: Zhang, Xinyu, et al.
Published: (2023)
by: Zhang, Xinyu, et al.
Published: (2023)
A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
by: Lai, Phung, et al.
Published: (2025)
by: Lai, Phung, et al.
Published: (2025)
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
by: Chen, Huancheng, et al.
Published: (2023)
by: Chen, Huancheng, et al.
Published: (2023)
Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
by: Morafah, Mahdi, et al.
Published: (2024)
by: Morafah, Mahdi, et al.
Published: (2024)
FedBEns: One-Shot Federated Learning based on Bayesian Ensemble
by: Talpini, Jacopo, et al.
Published: (2025)
by: Talpini, Jacopo, et al.
Published: (2025)
FedRS-Bench: Realistic Federated Learning Datasets and Benchmarks in Remote Sensing
by: Zhao, Haodong, et al.
Published: (2025)
by: Zhao, Haodong, et al.
Published: (2025)
MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
by: Duchesne, Michael, et al.
Published: (2024)
by: Duchesne, Michael, et al.
Published: (2024)
Similar Items
-
Proximity-based Self-Federated Learning
by: Domini, Davide, et al.
Published: (2024) -
FBFL: A Field-Based Coordination Approach for Data Heterogeneity in Federated Learning
by: Domini, Davide, et al.
Published: (2025) -
Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0
by: Domini, Davide, et al.
Published: (2025) -
Phyelds: A Pythonic Framework for Aggregate Computing
by: Aguzzi, Gianluca, et al.
Published: (2026) -
MacroSwarm: A Field-based Compositional Framework for Swarm Programming
by: Aguzzi, Gianluca, et al.
Published: (2024)