Image de couverture de livre

Dynamic Participation in Federated Learning: Benchmarks and a Knowledge Pool Plugin

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Lee, Ming-Lun, Yang, Fu-Shiang, Lin, Cheng-Kuan, Chen, Yan-Ann, Lin, Chih-Yu, Tseng, Yu-Chee
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Semi-Self Representation Learning for Crowdsourced WiFi Trajectories
par: Kuo, Yu-Lin, et autres
Publié: (2025)

Age Aware Scheduling for Differentially-Private Federated Learning
par: Lin, Kuan-Yu, et autres
Publié: (2024)

Learning-Based WiFi Fingerprint Inpainting via Generative Adversarial Networks
par: Chan, Yu, et autres
Publié: (2024)

FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
par: Lee, Ming-Lun, et autres
Publié: (2025)

An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
par: Chen, Yan-Ann, et autres
Publié: (2025)

Generative AI-Powered Plugin for Robust Federated Learning in Heterogeneous IoT Networks
par: Lee, Youngjoon, et autres
Publié: (2024)

LF2L: Loss Fusion Horizontal Federated Learning Across Heterogeneous Feature Spaces Using External Datasets Effectively: A Case Study in Second Primary Cancer Prediction
par: Lin, Chia-Fu, et autres
Publié: (2026)

Pairing Regularization for Mitigating Many-to-One Collapse in GANs
par: Lin, Kuan-Yu, et autres
Publié: (2026)

A categorical embedding discontinuity-capturing shallow neural network for anisotropic elliptic interface problems
par: Hu, Wei-Fan, et autres
Publié: (2025)

See, Point, Fly: A Learning-Free VLM Framework for Universal Unmanned Aerial Navigation
par: Hu, Chih Yao, et autres
Publié: (2025)

Enabling Weak Client Participation via On-device Knowledge Distillation in Heterogeneous Federated Learning
par: Lim, Jihyun, et autres
Publié: (2025)

DDOT: A Derivative-directed Dual-decoder Ordinary Differential Equation Transformer for Dynamic System Modeling
par: Chang, Yang, et autres
Publié: (2025)

SG-XDEAT: Sparsity-Guided Cross-Dimensional and Cross-Encoding Attention with Target-Aware Conditioning in Tabular Learning
par: Cheng, Chih-Chuan, et autres
Publié: (2025)

ReflexSplit: Single Image Reflection Separation via Layer Fusion-Separation
par: Lee, Chia-Ming, et autres
Publié: (2026)

FedDAA: Dynamic Client Clustering for Concept Drift Adaptation in Federated Learning
par: Peng, Fu, et autres
Publié: (2025)

LLM-Based Routing in Mixture of Experts: A Novel Framework for Trading
par: Liu, Kuan-Ming, et autres
Publié: (2025)

Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning
par: Jiang, Yu, et autres
Publié: (2024)

KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
par: Lin, Kun-Wei, et autres
Publié: (2025)

FedUHB: Accelerating Federated Unlearning via Polyak Heavy Ball Method
par: Jiang, Yu, et autres
Publié: (2024)

Federated Quantum Kernel Learning for Anomaly Detection in Multivariate IoT Time-Series
par: Chen, Kuan-Cheng, et autres
Publié: (2025)

An Attention-based Framework with Multistation Information for Earthquake Early Warnings
par: Huang, Yu-Ming, et autres
Publié: (2024)

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors
par: Hsu, Chia-Yi, et autres
Publié: (2025)

Benchmarking General-Purpose In-Context Learning
par: Wang, Fan, et autres
Publié: (2024)

Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations
par: Guo, Qi, et autres
Publié: (2024)

Heterogeneity-Aware Knowledge Sharing for Graph Federated Learning
par: Yu, Wentao, et autres
Publié: (2026)

Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
par: Wong, Hui Yeok, et autres
Publié: (2025)

Multi-Modal Continual Learning via Cross-Modality Adapters and Representation Alignment with Knowledge Preservation
par: Chee, Evelyn, et autres
Publié: (2025)

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts
par: Huang, Minbin, et autres
Publié: (2026)

Mitigating Data Absence in Federated Learning Using Privacy-Controllable Data Digests
par: Hsu, Chih-Fan, et autres
Publié: (2022)

Score $\times$ Decoder: A Unified View of Unsupervised Inference-Time Scaling for Hallucination Mitigation
par: Cheng, Yun-Chen, et autres
Publié: (2026)

FedKLPR: KL-Guided Pruning-Aware Federated Learning for Person Re-Identification
par: Yu, Po-Hsien, et autres
Publié: (2025)

A Modularized Framework for Piecewise-Stationary Restless Bandits
par: Li, Kuan-Ta, et autres
Publié: (2026)

Layer-Aware Task Arithmetic: Disentangling Task-Specific and Instruction-Following Knowledge
par: Chen, Yan-Lun, et autres
Publié: (2025)

Choice Outweighs Effort: Facilitating Complementary Knowledge Fusion in Federated Learning via Re-calibration and Merit-discrimination
par: Yang, Ming, et autres
Publié: (2025)

Randomized Scheduling for Periodic Multi-Source Systems with PAoI Violation Guarantees
par: Lin, Kuan-Yu, et autres
Publié: (2025)

Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning
par: Jiang, Yu, et autres
Publié: (2025)

Tailored Federated Learning: Leveraging Direction Regulation & Knowledge Distillation
par: Tang, Huidong, et autres
Publié: (2024)

Subspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology
par: Chen, Kuan-Lin, et autres
Publié: (2024)

Pushing the Limits of Distillation-Based Continual Learning via Classifier-Proximal Lightweight Plugins
par: Xu, Zhiming, et autres
Publié: (2025)

NPCNet: Navigator-Driven Pseudo Text for Deep Clustering of Early Sepsis Phenotyping
par: Tsai, Pi-Ju, et autres
Publié: (2026)