Cover Image

Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Muhebwa, Aggrey, Selialia, Khotso, Anwar, Fatima, Osman, Khalid K.
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mitigating Group Bias in Federated Learning for Heterogeneous Devices
by: Selialia, Khotso, et al.
Published: (2023)

Widening the Network Mitigates the Impact of Data Heterogeneity on FedAvg
by: Jian, Like, et al.
Published: (2025)

Minimax Estimation for Personalized Federated Learning: An Alternative between FedAvg and Local Training?
by: Chen, Shuxiao, et al.
Published: (2021)

A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg
by: Qu, Zhaonan, et al.
Published: (2020)

FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessment
by: Yasuno, Takato
Published: (2026)

Causal Distillation: Transferring Structured Explanations from Large to Compact Language Models
by: Muhebwa, Aggrey, et al.
Published: (2025)

StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems
by: Bouzinis, Pavlos S., et al.
Published: (2024)

Intrusion Detection Model for Wireless Sensor Networks Based on FedAvg and XGBoost Algorithm
by: Hongjiao Wu
Published: (2024)

FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning
by: Yang, Zhiqin, et al.
Published: (2025)

Lost in Tracking Translation: A Comprehensive Analysis of Visual SLAM in Human-Centered XR and IoT Ecosystems
by: Chandio, Yasra, et al.
Published: (2024)

FedIN: Federated Intermediate Layers Learning for Model Heterogeneity
by: Chan, Yun-Hin, et al.
Published: (2023)

SelfFed: Self-Supervised Federated Learning for Data Heterogeneity and Label Scarcity in Medical Images
by: Khowaja, Sunder Ali, et al.
Published: (2023)

FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
by: Lin, I-Cheng, et al.
Published: (2024)

FedEL: Federated Elastic Learning for Heterogeneous Devices
by: Zhang, Letian, et al.
Published: (2025)

FedDW: Distilling Weights through Consistency Optimization in Heterogeneous Federated Learning
by: Liu, Jiayu, et al.
Published: (2024)

Kuramoto Oscillatory Phase Encoding: Neuro-inspired Synchronization for Improved Learning Efficiency
by: Xiao, Mingqing, et al.
Published: (2026)

FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
by: Ji, Xinyuan, et al.
Published: (2024)

FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors
by: Shi, Changlong, et al.
Published: (2025)

FedOAED: Federated On-Device Autoencoder Denoiser for Heterogeneous Data under Limited Client Availability
by: Howlader, S M Ruhul Kabir, et al.
Published: (2025)

FedPAE: Peer-Adaptive Ensemble Learning for Asynchronous and Model-Heterogeneous Federated Learning
by: Mueller, Brianna, et al.
Published: (2024)

FedDPC : Handling Data Heterogeneity and Partial Client Participation in Federated Learning
by: Sen, Mrinmay, et al.
Published: (2025)

FedHarmony: Harmonizing Heterogeneous Label Correlations in Federated Multi-Label Learning
by: Kou, Zhiqiang, et al.
Published: (2026)

FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
by: Yao, Yuan, et al.
Published: (2025)

FedMoE: Personalized Federated Learning via Heterogeneous Mixture of Experts
by: Mei, Hanzi, et al.
Published: (2024)

FedADP: Unified Model Aggregation for Federated Learning with Heterogeneous Model Architectures
by: Wang, Jiacheng, et al.
Published: (2025)

FedDefender: Backdoor Attack Defense in Federated Learning
by: Gill, Waris, et al.
Published: (2023)

Personalized Federated Learning for Statistical Heterogeneity
by: Firdaus, Muhammad, et al.
Published: (2024)

FedTreeLoRA: Reconciling Statistical and Functional Heterogeneity in Federated LoRA Fine-Tuning
by: Bian, Jieming, et al.
Published: (2026)

SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization
by: Gül, Baran Can, et al.
Published: (2025)

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
by: Sun, Zhaobin, et al.
Published: (2024)

FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
by: Shen, Leming, et al.
Published: (2025)

Subspace Optimization for Efficient Federated Learning under Heterogeneous Data
by: Zhu, Shuchen, et al.
Published: (2026)

FedKL: Tackling Data Heterogeneity in Federated Reinforcement Learning by Penalizing KL Divergence
by: Xie, Zhijie, et al.
Published: (2022)

FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments
by: Alosaime, Sara, et al.
Published: (2025)

FedLGA: Towards System-Heterogeneity of Federated Learning via Local Gradient Approximation
by: Li, Xingyu, et al.
Published: (2021)

FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning
by: Xu, Ziyue, et al.
Published: (2024)

FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning
by: Chowdhury, Sujit, et al.
Published: (2024)

Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data
by: Chen, Yiyue, et al.
Published: (2025)

FedDebug: Systematic Debugging for Federated Learning Applications
by: Gill, Waris, et al.
Published: (2023)

FedMOA: Federated GRPO for Personalized Reasoning LLMs under Heterogeneous Rewards
by: Wang, Ziyao, et al.
Published: (2026)