:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Clain, Rebecca, Montesuma, Eduardo Fernandes, Mboula, Fred Ngole
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.04324
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Decentralized Federated Dataset Dictionary Learning for Multi-Source Domain Adaptation
by: Clain, Rebecca, et al.
Published: (2025)

Lighter, Better, Faster Multi-Source Domain Adaptation with Gaussian Mixture Models and Optimal Transport
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)

Optimal Transport for Domain Adaptation through Gaussian Mixture Models
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)

Online Multi-Source Domain Adaptation through Gaussian Mixtures and Dataset Dictionary Learning
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)

Recent Advances in Optimal Transport for Machine Learning
by: Montesuma, Eduardo Fernandes, et al.
Published: (2023)

Benchmarking Domain Adaptation for Chemical Processes on the Tennessee Eastman Process
by: Montesuma, Eduardo Fernandes, et al.
Published: (2023)

Dataset Dictionary Learning in a Wasserstein Space for Federated Domain Adaptation
by: Montesuma, Eduardo Fernandes, et al.
Published: (2024)

Unsupervised Anomaly Detection through Mass Repulsing Optimal Transport
by: Montesuma, Eduardo Fernandes, et al.
Published: (2025)

Beyond Mapping : Domain-Invariant Representations via Spectral Embedding of Optimal Transport Plans
by: Saoud, Abdel Djalil Sad, et al.
Published: (2026)

On the Role of DAG topology in Energy-Aware Cloud Scheduling : A GNN-Based Deep Reinforcement Learning Approach
by: Hattay, Anas, et al.
Published: (2026)

KD$^{2}$M: A unifying framework for feature knowledge distillation
by: Montesuma, Eduardo Fernandes
Published: (2025)

Unsupervised Dataset Dictionary Learning for domain shift robust clustering: application to sitting posture identification
by: Hattay, Anas, et al.
Published: (2025)

Wasserstein Gradient Flows for Scalable and Regularized Barycenter Computation
by: Montesuma, Eduardo Fernandes, et al.
Published: (2025)

A dimensionality reduction technique based on the Gromov-Wasserstein distance
by: Eufrazio, Rafael P., et al.
Published: (2025)

Structure-Preserving Multi-View Embedding Using Gromov-Wasserstein Optimal Transport
by: Eufrazio, Rafael Pereira, et al.
Published: (2026)

Gromov-Wasserstein Methods for Multi-View Relational Embedding and Clustering
by: Eufrazio, Rafael Pereira, et al.
Published: (2026)

ReBaPL: Repulsive Bayesian Prompt Learning
by: Bendou, Yassir, et al.
Published: (2025)

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

FedRewind: Rewinding Continual Model Exchange for Decentralized Federated Learning
by: Palazzo, Luca, et al.
Published: (2024)

Multi-Source to Multi-Target Decentralized Federated Domain Adaptation
by: Wang, Su, et al.
Published: (2023)

FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization
by: Li, Hongze, et al.
Published: (2025)

FedEP: Tailoring Attention to Heterogeneous Data Distribution with Entropy Pooling for Decentralized Federated Learning
by: Feng, Chao, et al.
Published: (2024)

FedIA: Towards Domain-Robust Aggregation in Federated Graph Learning
by: Zhou, Zhanting, et al.
Published: (2025)

FedDAA: Dynamic Client Clustering for Concept Drift Adaptation in Federated Learning
by: Peng, Fu, et al.
Published: (2025)

De-VertiFL: A Solution for Decentralized Vertical Federated Learning
by: Celdrán, Alberto Huertas, et al.
Published: (2024)

FedModule: A Modular Federated Learning Framework
by: Chen, Chuyi, et al.
Published: (2024)

FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks
by: Romandini, Nicolò, et al.
Published: (2025)

Penalized GMM Framework for Inference on Functionals of Nonparametric Instrumental Variable Estimators
by: Bakhitov, Edvard
Published: (2026)

Federated Adversarial Domain Adaptation
by: Peng, Xingchao, et al.
Published: (2019)

FedSR: A Semi-Decentralized Federated Learning Algorithm for Non-IIDness in IoT System
by: Huang, Jianjun, et al.
Published: (2024)

Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data
by: Zhao, Zilong, et al.
Published: (2021)

FedEAT: A Robustness Optimization Framework for Federated LLMs
by: Pang, Yahao, et al.
Published: (2025)

FedCCRL: Federated Domain Generalization with Cross-Client Representation Learning
by: Wang, Xinpeng, et al.
Published: (2024)

DeCAF: Decentralized Consensus-And-Factorization for Low-Rank Adaptation of Foundation Models
by: Saadati, Nastaran, et al.
Published: (2025)

Federated Domain Generalization with Label Smoothing and Balanced Decentralized Training
by: Soltany, Milad, et al.
Published: (2024)

FedDAF: Federated Domain Adaptation Using Model Functional Distance
by: Sen, Mrinmay, et al.
Published: (2025)

On the Fast Adaptation of Delayed Clients in Decentralized Federated Learning: A Centroid-Aligned Distillation Approach
by: Bai, Jiahui, et al.
Published: (2025)

FedUMM: A General Framework for Federated Learning with Unified Multimodal Models
by: Su, Zhaolong, et al.
Published: (2026)

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

Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
by: Zhang, Jingyuan, et al.
Published: (2024)