Jigsaw Game: Federated Clustering
Fuente:
arXiv
Saved in:
| Main Authors: | Xu, Jinxuan, Chen, Hong-You, Chao, Wei-Lun, Zhang, Yuqian |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Making Batch Normalization Great in Federated Deep Learning
by: Zhong, Jike, et al.
Published: (2023)
by: Zhong, Jike, et al.
Published: (2023)
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
by: Yin, Changchang, et al.
Published: (2025)
by: Yin, Changchang, et al.
Published: (2025)
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
by: Li, Ziwei, et al.
Published: (2024)
by: Li, Ziwei, et al.
Published: (2024)
Optimizing Communication and Device Clustering for Clustered Federated Learning with Differential Privacy
by: Wei, Dongyu, et al.
Published: (2025)
by: Wei, Dongyu, et al.
Published: (2025)
A Geometric Approach to $k$-means
by: Hong, Jiazhen, et al.
Published: (2022)
by: Hong, Jiazhen, et al.
Published: (2022)
VLHSA: Vision-Language Hierarchical Semantic Alignment for Jigsaw Puzzle Solving with Eroded Gaps
by: Xu, Zhuoning, et al.
Published: (2025)
by: Xu, Zhuoning, et al.
Published: (2025)
One-shot Robust Federated Learning of Independent Component Analysis
by: Jin, Dian, et al.
Published: (2025)
by: Jin, Dian, et al.
Published: (2025)
JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training
by: Hu, Zhengding, et al.
Published: (2026)
by: Hu, Zhengding, et al.
Published: (2026)
GALA: Graph Diffusion-based Alignment with Jigsaw for Source-free Domain Adaptation
by: Luo, Junyu, et al.
Published: (2024)
by: Luo, Junyu, et al.
Published: (2024)
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
by: Mai, Zheda, et al.
Published: (2024)
by: Mai, Zheda, et al.
Published: (2024)
Jigsaw: Training Multi-Billion-Parameter AI Weather Models with Optimized Model Parallelism
by: Kieckhefen, Deifilia, et al.
Published: (2025)
by: Kieckhefen, Deifilia, et al.
Published: (2025)
Dual-Directed Algorithm Design for Efficient Pure Exploration
by: Qin, Chao, et al.
Published: (2023)
by: Qin, Chao, et al.
Published: (2023)
Revisiting Nearest Neighbor for Tabular Data: A Deep Tabular Baseline Two Decades Later
by: Ye, Han-Jia, et al.
Published: (2024)
by: Ye, Han-Jia, et al.
Published: (2024)
Federated Multi-Task Clustering
by: Dai, Suyan, et al.
Published: (2025)
by: Dai, Suyan, et al.
Published: (2025)
Asynchronous Federated Clustering with Unknown Number of Clusters
by: Zhang, Yunfan, et al.
Published: (2024)
by: Zhang, Yunfan, et al.
Published: (2024)
Federated Incomplete Multi-view Clustering with Globally Fused Graph Guidance
by: Chao, Guoqing, et al.
Published: (2025)
by: Chao, Guoqing, et al.
Published: (2025)
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
by: Chen, Xinyue, et al.
Published: (2024)
by: Chen, Xinyue, et al.
Published: (2024)
Clustered Federated Learning via Embedding Distributions
by: Zhang, Dekai, et al.
Published: (2025)
by: Zhang, Dekai, et al.
Published: (2025)
Federated Learning via Variational Bayesian Inference: Personalization, Sparsity and Clustering
by: Zhang, Xu, et al.
Published: (2023)
by: Zhang, Xu, et al.
Published: (2023)
One-Shot Hierarchical Federated Clustering
by: Cai, Shenghong, et al.
Published: (2026)
by: Cai, Shenghong, et al.
Published: (2026)
TimeCapsule: Solving the Jigsaw Puzzle of Long-Term Time Series Forecasting with Compressed Predictive Representations
by: Lu, Yihang, et al.
Published: (2025)
by: Lu, Yihang, et al.
Published: (2025)
A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities
by: Ye, Han-Jia, et al.
Published: (2025)
by: Ye, Han-Jia, et al.
Published: (2025)
FedCluster: Boosting the Convergence of Federated Learning via Cluster-Cycling
by: Chen, Cheng, et al.
Published: (2020)
by: Chen, Cheng, et al.
Published: (2020)
High-dimensional semi-supervised learning: in search for optimal inference of the mean
by: Zhang, Yuqian, et al.
Published: (2019)
by: Zhang, Yuqian, et al.
Published: (2019)
Dynamic Clustering in Federated Learning
by: Kim, Yeongwoo, et al.
Published: (2020)
by: Kim, Yeongwoo, et al.
Published: (2020)
An Adaptive Clustering Scheme for Client Selections in Communication-Efficient Federated Learning
by: Chen, Yan-Ann, et al.
Published: (2025)
by: Chen, Yan-Ann, et al.
Published: (2025)
Global Graph Propagation with Hierarchical Information Transfer for Incomplete Contrastive Multi-view Clustering
by: Chao, Guoqing, et al.
Published: (2025)
by: Chao, Guoqing, et al.
Published: (2025)
Iterative Minimax Games with Coupled Linear Constraints
by: Zhang, Huiling, et al.
Published: (2022)
by: Zhang, Huiling, et al.
Published: (2022)
Strategic Federated Learning: Application to Smart Meter Data Clustering
by: Mohamad, Hassan, et al.
Published: (2024)
by: Mohamad, Hassan, et al.
Published: (2024)
Community Detection for Contextual-LSBM: Theoretical Limitations of Misclassification Rate and Efficient Algorithms
by: Jin, Dian, et al.
Published: (2025)
by: Jin, Dian, et al.
Published: (2025)
CCFC++: Enhancing Federated Clustering through Feature Decorrelation
by: Yan, Jie, et al.
Published: (2024)
by: Yan, Jie, et al.
Published: (2024)
Federated Temporal Graph Clustering
by: Zhou, Zihao, et al.
Published: (2024)
by: Zhou, Zihao, et al.
Published: (2024)
Breaker: Removing Shortcut Cues with User Clustering for Single-slot Recommendation System
by: Wang, Chao, et al.
Published: (2025)
by: Wang, Chao, et al.
Published: (2025)
Enhanced Federated Deep Multi-View Clustering under Uncertainty Scenario
by: Wei, Bingjun, et al.
Published: (2025)
by: Wei, Bingjun, et al.
Published: (2025)
Rethinking Pre-Training in Tabular Data: A Neighborhood Embedding Perspective
by: Ye, Han-Jia, et al.
Published: (2023)
by: Ye, Han-Jia, et al.
Published: (2023)
Mitigating Data Absence in Federated Learning Using Privacy-Controllable Data Digests
by: Hsu, Chih-Fan, et al.
Published: (2022)
by: Hsu, Chih-Fan, et al.
Published: (2022)
DFCA: Decentralized Federated Clustering Algorithm
by: Kirch, Jonas, et al.
Published: (2025)
by: Kirch, Jonas, et al.
Published: (2025)
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning
by: Xu, Mingcong, et al.
Published: (2025)
by: Xu, Mingcong, et al.
Published: (2025)
Federated Clustering: An Unsupervised Cluster-Wise Training for Decentralized Data Distributions
by: Nardi, Mirko, et al.
Published: (2024)
by: Nardi, Mirko, et al.
Published: (2024)
One-Shot Federated Clustering of Non-Independent Completely Distributed Data
by: Zhang, Yiqun, et al.
Published: (2026)
by: Zhang, Yiqun, et al.
Published: (2026)
Similar Items
-
Making Batch Normalization Great in Federated Deep Learning
by: Zhong, Jike, et al.
Published: (2023) -
Federated Inverse Probability Treatment Weighting for Individual Treatment Effect Estimation
by: Yin, Changchang, et al.
Published: (2025) -
FedNE: Surrogate-Assisted Federated Neighbor Embedding for Dimensionality Reduction
by: Li, Ziwei, et al.
Published: (2024) -
Optimizing Communication and Device Clustering for Clustered Federated Learning with Differential Privacy
by: Wei, Dongyu, et al.
Published: (2025) -
A Geometric Approach to $k$-means
by: Hong, Jiazhen, et al.
Published: (2022)