Cover Image

HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Nguyen, Thinh, Phan, Trung, Nguyen, Binh T., Doan, Khoa D, Wong, Kok-Seng
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing C.2.4; I.2.11
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning
by: Zhang, Haoran, et al.
Published: (2025)

BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning
by: Dao, Thinh, et al.
Published: (2025)

pFedDSH: Enabling Knowledge Transfer in Personalized Federated Learning through Data-free Sub-Hypernetwork
by: Nguyen, Thinh, et al.
Published: (2025)

ADF-LoRA: Alternating Low-Rank Aggregation for Decentralized Federated Fine-Tuning
by: Wang, Xiaoyu, et al.
Published: (2025)

Asynchronous Byzantine Federated Learning
by: Cox, Bart, et al.
Published: (2024)

Training Diffusion Models with Federated Learning
by: de Goede, Matthijs, et al.
Published: (2024)

Aergia: Leveraging Heterogeneity in Federated Learning Systems
by: Cox, Bart, et al.
Published: (2022)

Parameterizing Federated Continual Learning for Reproducible Research
by: Cox, Bart, et al.
Published: (2024)

Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients
by: Zuo, Yuncong, et al.
Published: (2024)

Hyper-parameter Optimization for Federated Learning with Step-wise Adaptive Mechanism
by: Saadati, Yasaman, et al.
Published: (2024)

A Domain-Driven Design Simulator for Business Logic-Rich Microservice Systems
by: Pereira, Daniel da Palma, et al.
Published: (2026)

Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
by: Dong, Fan, et al.
Published: (2023)

A Full Compression Pipeline for Green Federated Learning in Communication-Constrained Environments
by: Colybes, Elouan, et al.
Published: (2026)

CodeCRDT: Observation-Driven Coordination for Multi-Agent LLM Code Generation
by: Pugachev, Sergey
Published: (2025)

Separating Intelligence from Execution: A Workflow Engine for the Model Context Protocol
by: Parmar, Abhinav Singh
Published: (2026)

AutoDDL: Automatic Distributed Deep Learning with Near-Optimal Bandwidth Cost
by: Chen, Jinfan, et al.
Published: (2023)

SI-ChainFL: Shapley-Incentivized Secure Federated Learning for High-Speed Rail Data Sharing
by: Zhao, Mingjie, et al.
Published: (2026)

How Machine Learning-Data Driven Replication Strategies Enhance Fault Tolerance in Large-Scale Distributed Systems
by: Murimi, Almond Kiruthu
Published: (2025)

Federated Domain Generalization with Data-free On-server Matching Gradient
by: Nguyen, Trong-Binh, et al.
Published: (2025)

Federated Learning with Differential Privacy
by: Banse, Adrien, et al.
Published: (2024)

SPEAR:Exact Gradient Inversion of Batches in Federated Learning
by: Dimitrov, Dimitar I., et al.
Published: (2024)

Roadmap for Edge AI: A Dagstuhl Perspective
by: Ding, Aaron Yi, et al.
Published: (2021)

Connecting Large Language Model Agent to High Performance Computing Resource
by: Ma, Heng, et al.
Published: (2025)

Quantize Once, Train Fast: Allreduce-Compatible Compression with Provable Guarantees
by: Xin, Jihao, et al.
Published: (2023)

Streaming REST APIs for Large Financial Transaction Exports from Relational Databases
by: Kandiraju, Abhiram
Published: (2026)

Comparison of Autoscaling Frameworks for Containerised Machine-Learning-Applications in a Local and Cloud Environment
by: Schroeder, Christian, et al.
Published: (2023)

A Survey on Efficient Federated Learning Methods for Foundation Model Training
by: Woisetschläger, Herbert, et al.
Published: (2024)

FedPLT: Scalable, Resource-Efficient, and Heterogeneity-Aware Federated Learning via Partial Layer Training
by: Dabaja, Ahmad, et al.
Published: (2026)

SPARK: Igniting Communication-Efficient Decentralized Learning via Stage-wise Projected NTK and Accelerated Regularization
by: Xia, Li
Published: (2025)

FedStrategist: A Meta-Learning Framework for Adaptive and Robust Aggregation in Federated Learning
by: Haque, Md Rafid, et al.
Published: (2025)

Near-Optimal Sparse Allreduce for Distributed Deep Learning
by: Li, Shigang, et al.
Published: (2022)

Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning
by: Bhattacharya, Siddhartha, et al.
Published: (2024)

Federated Learning for Traffic Flow Prediction with Synthetic Data Augmentation
by: Orozco, Fermin, et al.
Published: (2024)

nvidia-pcm: A D-Bus-Driven Platform Configuration Manager for OpenBMC Environments
by: Singh, Harinder
Published: (2026)

SparkAttention: High-Performance Multi-Head Attention for Large Models on Volta GPU Architecture
by: Xu, Youxuan, et al.
Published: (2025)

AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments
by: Zhang, Guilin, et al.
Published: (2025)

Complex Event Processing in the Edge: A Combined Optimization Approach for Data and Code Placement
by: Uyanık, Halit, et al.
Published: (2026)

A Framework for the Interoperability of Cloud Platforms: Towards FAIR Data in SAFE Environments
by: Grossman, Robert L., et al.
Published: (2022)

Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route
by: Li, Zonghang, et al.
Published: (2024)

Offloading tracing for real-time systems using a scalable cloud infrastructure
by: Schmidt, David Jannis, et al.
Published: (2025)