Federated Learning Playground
Fuente:
arXiv
Saved in:
| Main Authors: | Shan, Bryan, Tan, Alysa Ziying, Yu, Han |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Advances and Open Challenges in Federated Foundation Models
by: Ren, Chao, et al.
Published: (2024)
by: Ren, Chao, et al.
Published: (2024)
ARC-RL: A Reinforcement Learning Playground Inspired by ARC Raiders
by: Romeo, Carlo, et al.
Published: (2026)
by: Romeo, Carlo, et al.
Published: (2026)
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
by: Sauter, Andreas W M, et al.
Published: (2024)
by: Sauter, Andreas W M, et al.
Published: (2024)
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
by: Zhuo, Wei, et al.
Published: (2025)
by: Zhuo, Wei, et al.
Published: (2025)
Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment
by: Peng, Hongyi, et al.
Published: (2026)
by: Peng, Hongyi, et al.
Published: (2026)
Pareto Actor-Critic for Communication and Computation Co-Optimization in Non-Cooperative Federated Learning Services
by: Tan, Renxuan, et al.
Published: (2025)
by: Tan, Renxuan, et al.
Published: (2025)
Towards Case-based Interpretability for Medical Federated Learning
by: Latorre, Laura, et al.
Published: (2024)
by: Latorre, Laura, et al.
Published: (2024)
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
by: Liao, Xinting, et al.
Published: (2024)
by: Liao, Xinting, et al.
Published: (2024)
Communication-Efficient Federated Learning with Accelerated Client Gradient
by: Kim, Geeho, et al.
Published: (2022)
by: Kim, Geeho, et al.
Published: (2022)
SacFL: Self-Adaptive Federated Continual Learning for Resource-Constrained End Devices
by: Zhong, Zhengyi, et al.
Published: (2025)
by: Zhong, Zhengyi, et al.
Published: (2025)
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
by: Zuo, Shiyuan, et al.
Published: (2024)
by: Zuo, Shiyuan, et al.
Published: (2024)
S2FGL: Spatial Spectral Federated Graph Learning
by: Tan, Zihan, et al.
Published: (2025)
by: Tan, Zihan, et al.
Published: (2025)
DAG-AFL:Directed Acyclic Graph-based Asynchronous Federated Learning
by: Zhang, Shuaipeng, et al.
Published: (2025)
by: Zhang, Shuaipeng, et al.
Published: (2025)
Towards Collaborative Fairness in Federated Learning Under Imbalanced Covariate Shift
by: Yu, Tianrun, et al.
Published: (2025)
by: Yu, Tianrun, et al.
Published: (2025)
Enhancing Federated Domain Adaptation with Multi-Domain Prototype-Based Federated Fine-Tuning
by: Zhang, Jingyuan, et al.
Published: (2024)
by: Zhang, Jingyuan, et al.
Published: (2024)
NewsInterview: a Dataset and a Playground to Evaluate LLMs' Ground Gap via Informational Interviews
by: Spangher, Alexander, et al.
Published: (2024)
by: Spangher, Alexander, et al.
Published: (2024)
Voronoi-grid-based Pareto Front Learning and Its Application to Collaborative Federated Learning
by: Chen, Mengmeng, et al.
Published: (2025)
by: Chen, Mengmeng, et al.
Published: (2025)
Ferret: Federated Full-Parameter Tuning at Scale for Large Language Models
by: Shu, Yao, et al.
Published: (2024)
by: Shu, Yao, et al.
Published: (2024)
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning
by: Li, Zhilong, et al.
Published: (2024)
by: Li, Zhilong, et al.
Published: (2024)
Continuity and Ordinality Matter: Constraining Time Series Tokens for Effective Time Series Analysis with Large Language Models
by: Li, Musheng, et al.
Published: (2026)
by: Li, Musheng, et al.
Published: (2026)
Federated Nested Learning: Collaborative Training of Self-Referential Memories for Test-Time Adaptation
by: Chen, Hong, et al.
Published: (2026)
by: Chen, Hong, et al.
Published: (2026)
Personalized Treatment Outcome Prediction from Scarce Data via Dual-Channel Knowledge Distillation and Adaptive Fusion
by: Chen, Wenjie, et al.
Published: (2025)
by: Chen, Wenjie, et al.
Published: (2025)
Uncertainty-Aware Explainable Federated Learning
by: Zhang, Yanci, et al.
Published: (2025)
by: Zhang, Yanci, et al.
Published: (2025)
Byzantine-Resilient Federated Learning via Distributed Optimization
by: Xia, Yufei, et al.
Published: (2025)
by: Xia, Yufei, et al.
Published: (2025)
Accurate Forgetting for Heterogeneous Federated Continual Learning
by: Wuerkaixi, Abudukelimu, et al.
Published: (2025)
by: Wuerkaixi, Abudukelimu, et al.
Published: (2025)
DeepAFL: Deep Analytic Federated Learning
by: Tang, Jianheng, et al.
Published: (2026)
by: Tang, Jianheng, et al.
Published: (2026)
FedDRL: A Trustworthy Federated Learning Model Fusion Method Based on Staged Reinforcement Learning
by: Chen, Leiming, et al.
Published: (2023)
by: Chen, Leiming, et al.
Published: (2023)
Towards Instance-wise Personalized Federated Learning via Semi-Implicit Bayesian Prompt Tuning
by: Ye, Tiandi, et al.
Published: (2025)
by: Ye, Tiandi, et al.
Published: (2025)
Data Valuation for Vertical Federated Learning: A Model-free and Privacy-preserving Method
by: Han, Xiao, et al.
Published: (2021)
by: Han, Xiao, et al.
Published: (2021)
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning
by: Zhao, Puning, et al.
Published: (2023)
by: Zhao, Puning, et al.
Published: (2023)
Graph Federated Learning for Personalized Privacy Recommendation
by: Na, Ce, et al.
Published: (2025)
by: Na, Ce, et al.
Published: (2025)
Attending on Multilevel Structure of Proteins enables Accurate Prediction of Cold-Start Drug-Target Interactions
by: Zhang, Ziying, et al.
Published: (2025)
by: Zhang, Ziying, et al.
Published: (2025)
Local Data Quantity-Aware Weighted Averaging for Federated Learning with Dishonest Clients
by: Wu, Leming, et al.
Published: (2025)
by: Wu, Leming, et al.
Published: (2025)
FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients
by: Wen, Tian, et al.
Published: (2026)
by: Wen, Tian, et al.
Published: (2026)
One-shot Federated Learning Methods: A Practical Guide
by: Liu, Xiang, et al.
Published: (2025)
by: Liu, Xiang, et al.
Published: (2025)
FedGRec: Dynamic Spatio-Temporal Federated Graph Learning for Secure and Efficient Cross-Border Recommendations
by: Tan, Zhizhong, et al.
Published: (2025)
by: Tan, Zhizhong, et al.
Published: (2025)
Tool-Aided Evolutionary LLM for Generative Policy Toward Efficient Resource Management in Wireless Federated Learning
by: Tan, Chongyang, et al.
Published: (2025)
by: Tan, Chongyang, et al.
Published: (2025)
FedEGG: Federated Learning with Explicit Global Guidance
by: Zhai, Kun, et al.
Published: (2024)
by: Zhai, Kun, et al.
Published: (2024)
FedConv: A Learning-on-Model Paradigm for Heterogeneous Federated Clients
by: Shen, Leming, et al.
Published: (2025)
by: Shen, Leming, et al.
Published: (2025)
Latent-Space Contrastive Reinforcement Learning for Stable and Efficient LLM Reasoning
by: Shan, Lianlei, et al.
Published: (2026)
by: Shan, Lianlei, et al.
Published: (2026)
Similar Items
-
Advances and Open Challenges in Federated Foundation Models
by: Ren, Chao, et al.
Published: (2024) -
ARC-RL: A Reinforcement Learning Playground Inspired by ARC Raiders
by: Romeo, Carlo, et al.
Published: (2026) -
CausalPlayground: Addressing Data-Generation Requirements in Cutting-Edge Causality Research
by: Sauter, Andreas W M, et al.
Published: (2024) -
Personalized Subgraph Federated Learning with Differentiable Auxiliary Projections
by: Zhuo, Wei, et al.
Published: (2025) -
Rethinking LoRA for Data Heterogeneous Federated Learning: Subspace and State Alignment
by: Peng, Hongyi, et al.
Published: (2026)