Saved in:
| Main Authors: | Li, Kai, Hu, Shuyan, Wu, Bochun, Zou, Sai, Ni, Wei, Dressler, Falko |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2504.10067 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT
by: Li, Kai, et al.
Published: (2024)
by: Li, Kai, et al.
Published: (2024)
Certified Unlearning in Decentralized Federated Learning
by: Wu, Hengliang, et al.
Published: (2026)
by: Wu, Hengliang, et al.
Published: (2026)
Leverage Variational Graph Representation For Model Poisoning on Federated Learning
by: Li, Kai, et al.
Published: (2024)
by: Li, Kai, et al.
Published: (2024)
Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
by: Cai, Hanlin, et al.
Published: (2026)
by: Cai, Hanlin, et al.
Published: (2026)
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
by: Yang, Hanxuan, et al.
Published: (2024)
by: Yang, Hanxuan, et al.
Published: (2024)
Deep Manifold Graph Auto-Encoder for Attributed Graph Embedding
by: Hu, Bozhen, et al.
Published: (2024)
by: Hu, Bozhen, et al.
Published: (2024)
Discrete Graph Auto-Encoder
by: Boget, Yoann, et al.
Published: (2023)
by: Boget, Yoann, et al.
Published: (2023)
Personalized Federated Collaborative Filtering: A Variational AutoEncoder Approach
by: Li, Zhiwei, et al.
Published: (2024)
by: Li, Zhiwei, et al.
Published: (2024)
Discrepancy-Aware Graph Mask Auto-Encoder
by: Zheng, Ziyu, et al.
Published: (2025)
by: Zheng, Ziyu, et al.
Published: (2025)
Statistical Test for Anomaly Detections by Variational Auto-Encoders
by: Miwa, Daiki, et al.
Published: (2024)
by: Miwa, Daiki, et al.
Published: (2024)
Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends
by: Li, Kai, et al.
Published: (2025)
by: Li, Kai, et al.
Published: (2025)
Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation
by: Cui, Ruijing, et al.
Published: (2024)
by: Cui, Ruijing, et al.
Published: (2024)
Learning Network Representations with Disentangled Graph Auto-Encoder
by: Fan, Di, et al.
Published: (2024)
by: Fan, Di, et al.
Published: (2024)
Learning Multimodal Energy-Based Model with Multimodal Variational Auto-Encoder via MCMC Revision
by: Cui, Jiali, et al.
Published: (2026)
by: Cui, Jiali, et al.
Published: (2026)
Causal Flow-based Variational Auto-Encoder for Disentangled Causal Representation Learning
by: Fan, Di, et al.
Published: (2023)
by: Fan, Di, et al.
Published: (2023)
KAE: Kolmogorov-Arnold Auto-Encoder for Representation Learning
by: Yu, Fangchen, et al.
Published: (2024)
by: Yu, Fangchen, et al.
Published: (2024)
Physically Interpretable Representation Learning with Gaussian Mixture Variational AutoEncoder (GM-VAE)
by: Fan, Tiffany, et al.
Published: (2025)
by: Fan, Tiffany, et al.
Published: (2025)
Representation Learning of Lab Values via Masked AutoEncoders
by: Restrepo, David, et al.
Published: (2025)
by: Restrepo, David, et al.
Published: (2025)
CFASL: Composite Factor-Aligned Symmetry Learning for Disentanglement in Variational AutoEncoder
by: Jung, Hee-Jun, et al.
Published: (2024)
by: Jung, Hee-Jun, et al.
Published: (2024)
A Revisit of Total Correlation in Disentangled Variational Auto-Encoder with Partial Disentanglement
by: Li, Chengrui, et al.
Published: (2025)
by: Li, Chengrui, et al.
Published: (2025)
Norm Augmented Graph AutoEncoders for Link Prediction
by: Liu, Yunhui, et al.
Published: (2025)
by: Liu, Yunhui, et al.
Published: (2025)
Adaptive Graph Auto-Encoder for General Data Clustering
by: Li, Xuelong, et al.
Published: (2020)
by: Li, Xuelong, et al.
Published: (2020)
A Matrix Variational Auto-Encoder for Variant Effect Prediction in Pharmacogenes
by: Honoré, Antoine, et al.
Published: (2025)
by: Honoré, Antoine, et al.
Published: (2025)
A Markov Random Field Multi-Modal Variational AutoEncoder
by: Oubari, Fouad, et al.
Published: (2024)
by: Oubari, Fouad, et al.
Published: (2024)
BEFL: Balancing Energy Consumption in Federated Learning for Mobile Edge IoT
by: Ju, Zehao, et al.
Published: (2024)
by: Ju, Zehao, et al.
Published: (2024)
$K^2$VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting
by: Wu, Xingjian, et al.
Published: (2025)
by: Wu, Xingjian, et al.
Published: (2025)
Physics-Informed Transformer for Multi-Band Channel Frequency Response Reconstruction
by: Zubow, Anatolij, et al.
Published: (2026)
by: Zubow, Anatolij, et al.
Published: (2026)
HC-GAE: The Hierarchical Cluster-based Graph Auto-Encoder for Graph Representation Learning
by: Xu, Zhuo, et al.
Published: (2024)
by: Xu, Zhuo, et al.
Published: (2024)
Informative Subgraphs Aware Masked Auto-Encoder in Dynamic Graphs
by: Jiao, Pengfe, et al.
Published: (2024)
by: Jiao, Pengfe, et al.
Published: (2024)
Multimodal hierarchical Variational AutoEncoders with Factor Analysis latent space
by: Guerrero-López, Alejandro, et al.
Published: (2022)
by: Guerrero-López, Alejandro, et al.
Published: (2022)
Multiple-Input Variational Auto-Encoder for Anomaly Detection in Heterogeneous Data
by: Dinh, Phai Vu, et al.
Published: (2025)
by: Dinh, Phai Vu, et al.
Published: (2025)
Bipartite Graph Variational Auto-Encoder with Fair Latent Representation to Account for Sampling Bias in Ecological Networks
by: Anakok, Emre, et al.
Published: (2024)
by: Anakok, Emre, et al.
Published: (2024)
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface
by: Yang, Kai, et al.
Published: (2020)
by: Yang, Kai, et al.
Published: (2020)
Differential Informed Auto-Encoder
by: Zhang, Jinrui
Published: (2024)
by: Zhang, Jinrui
Published: (2024)
SOSAE: Self-Organizing Sparse AutoEncoder
by: Modi, Sarthak Ketanbhai, et al.
Published: (2025)
by: Modi, Sarthak Ketanbhai, et al.
Published: (2025)
Edge-Parallel Graph Encoder Embedding
by: Lubonja, Ariel, et al.
Published: (2024)
by: Lubonja, Ariel, et al.
Published: (2024)
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning
by: Kim, Yeongmin, et al.
Published: (2024)
by: Kim, Yeongmin, et al.
Published: (2024)
Heterogeneous Graph Auto-Encoder for CreditCard Fraud Detection
by: Singh, Moirangthem Tiken, et al.
Published: (2024)
by: Singh, Moirangthem Tiken, et al.
Published: (2024)
Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder
by: Suh, Soobin, et al.
Published: (2025)
by: Suh, Soobin, et al.
Published: (2025)
L-VAE: Variational Auto-Encoder with Learnable Beta for Disentangled Representation
by: Ozcan, Hazal Mogultay, et al.
Published: (2025)
by: Ozcan, Hazal Mogultay, et al.
Published: (2025)
Similar Items
-
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT
by: Li, Kai, et al.
Published: (2024) -
Certified Unlearning in Decentralized Federated Learning
by: Wu, Hengliang, et al.
Published: (2026) -
Leverage Variational Graph Representation For Model Poisoning on Federated Learning
by: Li, Kai, et al.
Published: (2024) -
Graph Representation Learning Augmented Model Manipulation on Federated Fine-Tuning of LLMs
by: Cai, Hanlin, et al.
Published: (2026) -
Variational Graph Auto-Encoder Based Inductive Learning Method for Semi-Supervised Classification
by: Yang, Hanxuan, et al.
Published: (2024)