Saved in:
| Main Authors: | Xiao, Zelin, Gu, Jia, Chen, Song Xi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2506.16394 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
by: Song, Heekang, et al.
Published: (2025)
by: Song, Heekang, et al.
Published: (2025)
High-Dimensional Linear Bandits under Stochastic Latent Heterogeneity
by: Chen, Elynn, et al.
Published: (2025)
by: Chen, Elynn, et al.
Published: (2025)
Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
by: Zhu, Mingkang, et al.
Published: (2025)
by: Zhu, Mingkang, et al.
Published: (2025)
Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
by: Chen, Elynn, et al.
Published: (2026)
by: Chen, Elynn, et al.
Published: (2026)
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
by: Yu, Wentao, et al.
Published: (2024)
by: Yu, Wentao, et al.
Published: (2024)
FedIDM: Achieving Fast and Stable Convergence in Byzantine Federated Learning through Iterative Distribution Matching
by: Yang, He, et al.
Published: (2026)
by: Yang, He, et al.
Published: (2026)
Identifiable Bayesian Deep Generative Copulas with Unknown Layer Widths for Data with Arbitrary Marginal Distributions
by: Feldman, Joseph, et al.
Published: (2026)
by: Feldman, Joseph, et al.
Published: (2026)
A Survey on Uncertainty Quantification Methods for Deep Learning
by: He, Wenchong, et al.
Published: (2023)
by: He, Wenchong, et al.
Published: (2023)
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning
by: Chen, Xi, et al.
Published: (2025)
by: Chen, Xi, et al.
Published: (2025)
SARA: Singular-Value Based Adaptive Low-Rank Adaption
by: Gu, Jihao, et al.
Published: (2024)
by: Gu, Jihao, et al.
Published: (2024)
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
by: Ji, Xinyuan, et al.
Published: (2024)
by: Ji, Xinyuan, et al.
Published: (2024)
The Distributional Reward Critic Framework for Reinforcement Learning Under Perturbed Rewards
by: Chen, Xi, et al.
Published: (2024)
by: Chen, Xi, et al.
Published: (2024)
Generalizing Reward Modeling for Out-of-Distribution Preference Learning
by: Jia, Chen
Published: (2024)
by: Jia, Chen
Published: (2024)
Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity
by: Chen, Qin, et al.
Published: (2025)
by: Chen, Qin, et al.
Published: (2025)
Distribution-informed Efficient Conformal Prediction for Full Ranking
by: Liao, Wenbo, et al.
Published: (2026)
by: Liao, Wenbo, et al.
Published: (2026)
Rethinking the initialization of Momentum in Federated Learning with Heterogeneous Data
by: Xiao, Chenguang, et al.
Published: (2024)
by: Xiao, Chenguang, et al.
Published: (2024)
HeGMN: Heterogeneous Graph Matching Network for Learning Graph Similarity
by: Sang, Shilong, et al.
Published: (2025)
by: Sang, Shilong, et al.
Published: (2025)
LLM Zeroth-Order Fine-Tuning is an Inference Workload
by: Li, Zelin, et al.
Published: (2026)
by: Li, Zelin, et al.
Published: (2026)
Group-Agent Reinforcement Learning with Heterogeneous Agents
by: Wu, Kaiyue, et al.
Published: (2025)
by: Wu, Kaiyue, et al.
Published: (2025)
Dual-perspective Cross Contrastive Learning in Graph Transformers
by: Yao, Zelin, et al.
Published: (2024)
by: Yao, Zelin, et al.
Published: (2024)
OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters
by: Tyagi, Sahil, et al.
Published: (2025)
by: Tyagi, Sahil, et al.
Published: (2025)
Latent Poincaré Shaping for Agentic Reinforcement Learning
by: Xia, Hanchen, et al.
Published: (2026)
by: Xia, Hanchen, et al.
Published: (2026)
Conditional Distribution Learning for Graph Classification
by: Chen, Jie, et al.
Published: (2024)
by: Chen, Jie, et al.
Published: (2024)
On Theoretical Identifiability of Discrete Latent Causal Graphical Models
by: Lee, Seunghyun, et al.
Published: (2025)
by: Lee, Seunghyun, et al.
Published: (2025)
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution
by: Wang, Lina, et al.
Published: (2025)
by: Wang, Lina, et al.
Published: (2025)
MMBind: Unleashing the Potential of Distributed and Heterogeneous Data for Multimodal Learning in IoT
by: Ouyang, Xiaomin, et al.
Published: (2024)
by: Ouyang, Xiaomin, et al.
Published: (2024)
Concentration Distribution Learning from Label Distributions
by: Tang, Jiawei, et al.
Published: (2025)
by: Tang, Jiawei, et al.
Published: (2025)
Heterogeneous Federated Learning System for Sparse Healthcare Time-Series Prediction
by: Syu, Jia-Hao, et al.
Published: (2025)
by: Syu, Jia-Hao, et al.
Published: (2025)
Hi-GMAE: Hierarchical Graph Masked Autoencoders
by: Liu, Chuang, et al.
Published: (2024)
by: Liu, Chuang, et al.
Published: (2024)
Privacy-Preserving Personalized Federated Learning for Distributed Photovoltaic Disaggregation under Statistical Heterogeneity
by: Chen, Xiaolu, et al.
Published: (2025)
by: Chen, Xiaolu, et al.
Published: (2025)
Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations
by: Wang, Yuanyuan, et al.
Published: (2022)
by: Wang, Yuanyuan, et al.
Published: (2022)
Transfer Learning for Loan Recovery Prediction under Distribution Shifts with Heterogeneous Feature Spaces
by: Gerling, Christopher, et al.
Published: (2026)
by: Gerling, Christopher, et al.
Published: (2026)
Synergistic Localization and Sensing in MIMO-OFDM Systems via Mixed-Integer Bilevel Learning
by: Zhu, Zelin, et al.
Published: (2025)
by: Zhu, Zelin, et al.
Published: (2025)
DecoyDB: A Dataset for Graph Contrastive Learning in Protein-Ligand Binding Affinity Prediction
by: Zhang, Yupu, et al.
Published: (2025)
by: Zhang, Yupu, et al.
Published: (2025)
Measuring Heterogeneity in Machine Learning with Distributed Energy Distance
by: Fan, Mengchen, et al.
Published: (2025)
by: Fan, Mengchen, et al.
Published: (2025)
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
by: Shi, Qiankun, et al.
Published: (2025)
by: Shi, Qiankun, et al.
Published: (2025)
Deep Manifold Transformation for Protein Representation Learning
by: Hu, Bozhen, et al.
Published: (2024)
by: Hu, Bozhen, et al.
Published: (2024)
Sustainable Smart Farm Networks: Enhancing Resilience and Efficiency with Decision Theory-Guided Deep Reinforcement Learning
by: Chen, Dian, et al.
Published: (2025)
by: Chen, Dian, et al.
Published: (2025)
Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning
by: Luo, Yuankai, et al.
Published: (2024)
by: Luo, Yuankai, et al.
Published: (2024)
Hierarchical Contrastive Learning Enhanced Heterogeneous Graph Neural Network
by: Liu, Nian, et al.
Published: (2023)
by: Liu, Nian, et al.
Published: (2023)
Similar Items
-
Approximate Gradient Coding for Distributed Learning with Heterogeneous Stragglers
by: Song, Heekang, et al.
Published: (2025) -
High-Dimensional Linear Bandits under Stochastic Latent Heterogeneity
by: Chen, Elynn, et al.
Published: (2025) -
Stratified GRPO: Handling Structural Heterogeneity in Reinforcement Learning of LLM Search Agents
by: Zhu, Mingkang, et al.
Published: (2025) -
Transfer Learning for Contextual Joint Assortment-Pricing under Cross-Market Heterogeneity
by: Chen, Elynn, et al.
Published: (2026) -
Modeling Inter-Intra Heterogeneity for Graph Federated Learning
by: Yu, Wentao, et al.
Published: (2024)