FedVSSAM: Mitigating Flatness Incompatibility in Sharpness-Aware Federated Learning
Fuente:
arXiv
Guardado en:
| Autores principales: | Xiao, Bingnan, Gao, Yuan, Li, Bingcong, Ni, Wei, Wang, Xin, Quek, Tony Q. S. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
por: Xiao, Bingnan, et al.
Publicado: (2024)
por: Xiao, Bingnan, et al.
Publicado: (2024)
Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization
por: Zhai, Zhiyuan, et al.
Publicado: (2026)
por: Zhai, Zhiyuan, et al.
Publicado: (2026)
Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm
por: Zhang, Yilang, et al.
Publicado: (2025)
por: Zhang, Yilang, et al.
Publicado: (2025)
VASSO: Variance Suppression for Sharpness-Aware Minimization
por: Li, Bingcong, et al.
Publicado: (2025)
por: Li, Bingcong, et al.
Publicado: (2025)
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
por: Li, Bingcong, et al.
Publicado: (2024)
por: Li, Bingcong, et al.
Publicado: (2024)
Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification
por: Li, Yiwei, et al.
Publicado: (2023)
por: Li, Yiwei, et al.
Publicado: (2023)
Accelerating Wireless Distributed Learning via Hybrid Split and Federated Learning Optimization
por: Guo, Kun, et al.
Publicado: (2025)
por: Guo, Kun, et al.
Publicado: (2025)
FedGA: Federated Learning with Gradient Alignment for Error Asymmetry Mitigation
por: Xiao, Chenguang, et al.
Publicado: (2024)
por: Xiao, Chenguang, et al.
Publicado: (2024)
Spectral Co-Distillation for Personalized Federated Learning
por: Chen, Zihan, et al.
Publicado: (2024)
por: Chen, Zihan, et al.
Publicado: (2024)
Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks
por: Wang, Shuai, et al.
Publicado: (2025)
por: Wang, Shuai, et al.
Publicado: (2025)
A Fast and Flat Federated Learning Method via Weighted Momentum and Sharpness-Aware Minimization
por: Li, Tianle, et al.
Publicado: (2025)
por: Li, Tianle, et al.
Publicado: (2025)
FedNSAM:Consistency of Local and Global Flatness for Federated Learning
por: Liu, Junkang, et al.
Publicado: (2026)
por: Liu, Junkang, et al.
Publicado: (2026)
Pigeon-SL: Robust Split Learning Framework for Edge Intelligence under Malicious Clients
por: Park, Sangjun, et al.
Publicado: (2025)
por: Park, Sangjun, et al.
Publicado: (2025)
FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
por: Chen, Yue, et al.
Publicado: (2025)
por: Chen, Yue, et al.
Publicado: (2025)
Age-Based Scheduling for Mobile Edge Computing: A Deep Reinforcement Learning Approach
por: He, Xingqiu, et al.
Publicado: (2023)
por: He, Xingqiu, et al.
Publicado: (2023)
Sharpness-Aware Minimization for Generalized Embedding Learning in Federated Recommendation
por: Yu, Fengyuan, et al.
Publicado: (2026)
por: Yu, Fengyuan, et al.
Publicado: (2026)
FedFixer: Mitigating Heterogeneous Label Noise in Federated Learning
por: Ji, Xinyuan, et al.
Publicado: (2024)
por: Ji, Xinyuan, et al.
Publicado: (2024)
Sharpness-aware Federated Graph Learning
por: Li, Ruiyu, et al.
Publicado: (2025)
por: Li, Ruiyu, et al.
Publicado: (2025)
Adaptive Federated Learning Over the Air
por: Wang, Chenhao, et al.
Publicado: (2024)
por: Wang, Chenhao, et al.
Publicado: (2024)
Learning for Cross-Layer Resource Allocation in MEC-Aided Cell-Free Networks
por: Zheng, Chong, et al.
Publicado: (2024)
por: Zheng, Chong, et al.
Publicado: (2024)
FedRE: Robust and Effective Federated Learning with Privacy Preference
por: Xiao, Tianzhe, et al.
Publicado: (2025)
por: Xiao, Tianzhe, et al.
Publicado: (2025)
Robust Federated Learning Over the Air: Combating Heavy-Tailed Noise with Median Anchored Clipping
por: Li, Jiaxing, et al.
Publicado: (2024)
por: Li, Jiaxing, et al.
Publicado: (2024)
Wireless Federated Multi-Task LLM Fine-Tuning via Sparse-and-Orthogonal LoRA
por: Yang, Nuocheng, et al.
Publicado: (2026)
por: Yang, Nuocheng, et al.
Publicado: (2026)
Federated Learning Resilient to Byzantine Attacks and Data Heterogeneity
por: Zuo, Shiyuan, et al.
Publicado: (2024)
por: Zuo, Shiyuan, et al.
Publicado: (2024)
Sharpness-Aware Pretraining Mitigates Catastrophic Forgetting
por: Watts, Ishaan, et al.
Publicado: (2026)
por: Watts, Ishaan, et al.
Publicado: (2026)
FedCARE: Federated Unlearning with Conflict-Aware Projection and Relearning-Resistant Recovery
por: Li, Yue, et al.
Publicado: (2026)
por: Li, Yue, et al.
Publicado: (2026)
FedRE: A Representation Entanglement Framework for Model-Heterogeneous Federated Learning
por: Yao, Yuan, et al.
Publicado: (2025)
por: Yao, Yuan, et al.
Publicado: (2025)
FedSPDnet: Geometry-Aware Federated Deep Learning with SPDnet
por: Pautrel, Thibault, et al.
Publicado: (2026)
por: Pautrel, Thibault, et al.
Publicado: (2026)
Free Privacy Protection for Wireless Federated Learning: Enjoy It or Suffer from It?
por: Li, Weicai, et al.
Publicado: (2025)
por: Li, Weicai, et al.
Publicado: (2025)
Accelerating Privacy-Preserving Federated Learning in Large-Scale LEO Satellite Systems
por: Guo, Binquan, et al.
Publicado: (2025)
por: Guo, Binquan, et al.
Publicado: (2025)
FedSDAF: Leveraging Source Domain Awareness for Enhanced Federated Domain Generalization
por: Li, Hongze, et al.
Publicado: (2025)
por: Li, Hongze, et al.
Publicado: (2025)
$γ$-FedHT: Stepsize-Aware Hard-Threshold Gradient Compression in Federated Learning
por: Lu, Rongwei, et al.
Publicado: (2025)
por: Lu, Rongwei, et al.
Publicado: (2025)
FedGIG: Graph Inversion from Gradient in Federated Learning
por: Xiao, Tianzhe, et al.
Publicado: (2024)
por: Xiao, Tianzhe, et al.
Publicado: (2024)
DP$^2$-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization
por: Zhang, Zhenxiao, et al.
Publicado: (2024)
por: Zhang, Zhenxiao, et al.
Publicado: (2024)
FedSCAM (Federated Sharpness-Aware Minimization with Clustered Aggregation and Modulation): Scam-resistant SAM for Robust Federated Optimization in Heterogeneous Environments
por: Rahil, Sameer, et al.
Publicado: (2025)
por: Rahil, Sameer, et al.
Publicado: (2025)
FedFog: Network-Aware Optimization of Federated Learning over Wireless Fog-Cloud Systems
por: Nguyen, Van-Dinh, et al.
Publicado: (2021)
por: Nguyen, Van-Dinh, et al.
Publicado: (2021)
Zeroth-Order Optimization Finds Flat Minima
por: Zhang, Liang, et al.
Publicado: (2025)
por: Zhang, Liang, et al.
Publicado: (2025)
FlexFed: Mitigating Catastrophic Forgetting in Heterogeneous Federated Learning in Pervasive Computing Environments
por: Alosaime, Sara, et al.
Publicado: (2025)
por: Alosaime, Sara, et al.
Publicado: (2025)
FedAgg: Adaptive Federated Learning with Aggregated Gradients
por: Yuan, Wenhao, et al.
Publicado: (2023)
por: Yuan, Wenhao, et al.
Publicado: (2023)
FedSA-GCL: A Semi-Asynchronous Federated Graph Learning Framework with Personalized Aggregation and Cluster-Aware Broadcasting
por: Yuan, Zhongzheng, et al.
Publicado: (2025)
por: Yuan, Zhongzheng, et al.
Publicado: (2025)
Ejemplares similares
-
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks
por: Xiao, Bingnan, et al.
Publicado: (2024) -
Adaptive Test-Time Compute Allocation for Reasoning LLMs via Constrained Policy Optimization
por: Zhai, Zhiyuan, et al.
Publicado: (2026) -
Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm
por: Zhang, Yilang, et al.
Publicado: (2025) -
VASSO: Variance Suppression for Sharpness-Aware Minimization
por: Li, Bingcong, et al.
Publicado: (2025) -
Implicit Regularization of Sharpness-Aware Minimization for Scale-Invariant Problems
por: Li, Bingcong, et al.
Publicado: (2024)