Cover Image

Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Orzikulova, Adiba, Kwak, Jaehyun, Shin, Jaemin, Lee, Sung-Ju
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Time-bound Contextual Bio-ID Generation for Minimalist Wearables
by: Orzikulova, Adiba, et al.
Published: (2024)

(FL)$^2$: Overcoming Few Labels in Federated Semi-Supervised Learning
by: Lee, Seungjoo, et al.
Published: (2024)

Parameter-Free Hypergraph Neural Network for Few-Shot Node Classification
by: Bae, Chaewoon, et al.
Published: (2025)

Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction
by: Syu, Jia-Hao, et al.
Published: (2025)

SelfReplay: Adapting Self-Supervised Sensory Models via Adaptive Meta-Task Replay
by: Yoon, Hyungjun, et al.
Published: (2024)

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
by: Che, Liwei, et al.
Published: (2024)

Flame: Simplifying Topology Extension in Federated Learning
by: Daga, Harshit, et al.
Published: (2023)

From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
by: Cai, Ruichu, et al.
Published: (2024)

FedRand: Enhancing Privacy in Federated Learning with Randomized LoRA Subparameter Updates
by: Park, Sangwoo, et al.
Published: (2025)

Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
by: Baumgart, Gustav A., et al.
Published: (2024)

MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning
by: Yang, Lishan, et al.
Published: (2025)

FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities
by: Liu, Yi, et al.
Published: (2025)

Test-Time Adaptation with Binary Feedback
by: Lee, Taeckyung, et al.
Published: (2025)

PINT: Physics-Informed Neural Time Series Models with Applications to Long-term Inference on WeatherBench 2m-Temperature Data
by: Park, Keonvin, et al.
Published: (2025)

End-To-End Self-Tuning Self-Supervised Time Series Anomaly Detection
by: Deforce, Boje, et al.
Published: (2024)

RDIS: Random Drop Imputation with Self-Training for Incomplete Time Series Data
by: Choi, Tae-Min, et al.
Published: (2020)

FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN
by: Maliakel, Paul Joe, et al.
Published: (2024)

DRIM: Learning Disentangled Representations from Incomplete Multimodal Healthcare Data
by: Robinet, Lucas, et al.
Published: (2024)

'Hello, World!': Making GNNs Talk with LLMs
by: Kim, Sunwoo, et al.
Published: (2025)

Multi-Modal Contrastive Learning for Online Clinical Time-Series Applications
by: Baldenweg, Fabian, et al.
Published: (2024)

Cross-Modal Deep Metric Learning for Time Series Anomaly Detection
by: Li, Wei, et al.
Published: (2025)

HypeBoy: Generative Self-Supervised Representation Learning on Hypergraphs
by: Kim, Sunwoo, et al.
Published: (2024)

Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems
by: Jahin, Md Abrar, et al.
Published: (2025)

Less Greedy Equivalence Search
by: Ejaz, Adiba, et al.
Published: (2025)

NuwaTS: a Foundation Model Mending Every Incomplete Time Series
by: Cheng, Jinguo, et al.
Published: (2024)

TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents
by: Lee, Geon, et al.
Published: (2025)

FedSVD: Adaptive Orthogonalization for Private Federated Learning with LoRA
by: Lee, Seanie, et al.
Published: (2025)

Learning Time-Varying Graphs from Incomplete Graph Signals
by: Peng, Chuansen, et al.
Published: (2025)

CAFO: Feature-Centric Explanation on Time Series Classification
by: Kim, Jaeho, et al.
Published: (2024)

Machine Learning-Based Nonlinear Nudging for Chaotic Dynamical Systems
by: Oh, Jaemin, et al.
Published: (2025)

MARIA: a Multimodal Transformer Model for Incomplete Healthcare Data
by: Caruso, Camillo Maria, et al.
Published: (2024)

Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series
by: Liu, Mingzhu, et al.
Published: (2024)

View Space: Learning Representation across Arbitrary Graphs
by: Lee, Dooho, et al.
Published: (2025)

Federated Learning for Multivariate Time Series Anomaly Detection in Industrial Automation
by: Nosrati, Khayyam, et al.
Published: (2026)

Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
by: Lee, Seunghan, et al.
Published: (2026)

Soft Contrastive Learning for Time Series
by: Lee, Seunghan, et al.
Published: (2023)

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting
by: Chen, Peng, et al.
Published: (2025)

MuteBench: Modality Unavailability Tolerance Evaluation for Incomplete Multimodal Fusion
by: Zheng, Wugeng, et al.
Published: (2026)

Confidence-Aware Self-Distillation for Multimodal Sentiment Analysis with Incomplete Modalities
by: Luo, Yanxi, et al.
Published: (2025)

Infinite-Horizon Reinforcement Learning with Multinomial Logistic Function Approximation
by: Park, Jaehyun, et al.
Published: (2024)