Cover Image

On the Necessity of Collaboration for Online Model Selection with Decentralized Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Junfan, Wu, Zheshun, Xu, Zenglin, King, Irwin
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

Online Optimization for Learning to Communicate over Time-Correlated Channels
by: Wu, Zheshun, et al.
Published: (2024)

Topology Learning for Heterogeneous Decentralized Federated Learning over Unreliable D2D Networks
by: Wu, Zheshun, et al.
Published: (2023)

A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions
by: Li, Junfan, et al.
Published: (2025)

Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis
by: Li, Junfan, et al.
Published: (2024)

Understanding Generalization of Federated Learning: the Trade-off between Model Stability and Optimization
by: Zeng, Dun, et al.
Published: (2024)

Advocating for the Silent: Enhancing Federated Generalization for Non-Participating Clients
by: Wu, Zheshun, et al.
Published: (2023)

FedCVD: The First Real-World Federated Learning Benchmark on Cardiovascular Disease Data
by: Zhang, Yukun, et al.
Published: (2024)

Improved Kernel Alignment Regret Bound for Online Kernel Learning
by: Li, Junfan, et al.
Published: (2022)

Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives
by: Yang, Yiyuan, et al.
Published: (2024)

DARC: Disagreement-Aware Alignment via Risk-Constrained Decoding
by: Zou, Mingxi, et al.
Published: (2026)

Semi-supervised Instruction Tuning for Large Language Models on Text-Attributed Graphs
by: Song, Zixing, et al.
Published: (2026)

Collaboratively Learning Federated Models from Noisy Decentralized Data
by: Li, Haoyuan, et al.
Published: (2024)

SparseDVFS: Sparse-Aware DVFS for Energy-Efficient Edge Inference
by: Zhang, Ziyang, et al.
Published: (2026)

XMoE: Sparse Models with Fine-grained and Adaptive Expert Selection
by: Yang, Yuanhang, et al.
Published: (2024)

Tucker Diffusion Model for High-dimensional Tensor Generation
by: Guo, Jianhua, et al.
Published: (2026)

Efficient Parallelization of Message Passing Neural Network Potentials for Large-scale Molecular Dynamics
by: Xia, Junfan, et al.
Published: (2025)

Learned Neighbor Trust for Collaborative Deployment in Model-Agnostic Decentralized Learning
by: Lanier, Michael, et al.
Published: (2026)

On the Necessity of Learnable Sheaf Laplacians
by: Caralt, Ferran Hernandez, et al.
Published: (2026)

Decentralized Directed Collaboration for Personalized Federated Learning
by: Liu, Yingqi, et al.
Published: (2024)

FedABC: Attention-Based Client Selection for Federated Learning with Long-Term View
by: Ye, Wenxuan, et al.
Published: (2025)

Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
by: Li, Zhe, et al.
Published: (2023)

Learnable Prompt as Pseudo-Imputation: Rethinking the Necessity of Traditional EHR Data Imputation in Downstream Clinical Prediction
by: Liao, Weibin, et al.
Published: (2024)

Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems
by: Guo, Ping, et al.
Published: (2021)

Data-Driven Online Model Selection With Regret Guarantees
by: Pacchiano, Aldo, et al.
Published: (2023)

Online Sparse Feature Selection in Data Streams via Differential Evolution
by: Xu, Ruiyang
Published: (2025)

Efficient Identity and Position Graph Embedding via Spectral-Based Random Feature Aggregation
by: Qin, Meng, et al.
Published: (2025)

Bayesian Online Model Selection
by: Afshar, Aida, et al.
Published: (2026)

Online Conformal Model Selection for Nonstationary Time Series
by: Li, Shibo, et al.
Published: (2025)

IndexNet: Timestamp and Variable-Aware Modeling for Time Series Forecasting
by: Wu, Beiliang, et al.
Published: (2025)

Learning-Augmented Decentralized Online Convex Optimization in Networks
by: Li, Pengfei, et al.
Published: (2023)

Bilevel Optimization over Saddle Points of Zero-Sum Markov Games
by: Zheng, Zihao, et al.
Published: (2026)

Optimal and Efficient Algorithms for Decentralized Online Convex Optimization
by: Wan, Yuanyu, et al.
Published: (2024)

Decentralized Online Learning in General-Sum Stackelberg Games
by: Yu, Yaolong, et al.
Published: (2024)

The Effectiveness of Local Updates for Decentralized Learning under Data Heterogeneity
by: Wu, Tongle, et al.
Published: (2024)

Online Laplace Model Selection Revisited
by: Lin, Jihao Andreas, et al.
Published: (2023)

Decentralized and Lifelong-Adaptive Multi-Agent Collaborative Learning
by: Tang, Shuo, et al.
Published: (2024)

Adversarial Online Collaborative Filtering
by: Pasteris, Stephen, et al.
Published: (2023)

Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling
by: Qi, Shiyi, et al.
Published: (2024)

Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning
by: Fang, Hung-Chieh, et al.
Published: (2025)

A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning
by: Saif, Sarwar, et al.
Published: (2025)