Cover Image

DP-FedPGN: Finding Global Flat Minima for Differentially Private Federated Learning via Penalizing Gradient Norm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Junkang, Tian, Yuxuan, Shang, Fanhua, Liu, Yuanyuan, Liu, Hongying, Zhou, Junchao, Ding, Daorui
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FedNSAM:Consistency of Local and Global Flatness for Federated Learning
by: Liu, Junkang, et al.
Published: (2026)

FedMuon: Accelerating Federated Learning with Matrix Orthogonalization
by: Liu, Junkang, et al.
Published: (2025)

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
by: Liu, Junkang, et al.
Published: (2026)

FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
by: Liu, Junkang, et al.
Published: (2025)

ILoRA: Federated Learning with Low-Rank Adaptation for Heterogeneous Client Aggregation
by: Zhou, Junchao, et al.
Published: (2025)

Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data
by: Liu, Junkang, et al.
Published: (2026)

DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models
by: Liu, Jin, et al.
Published: (2026)

FedSWA: Improving Generalization in Federated Learning with Highly Heterogeneous Data via Momentum-Based Stochastic Controlled Weight Averaging
by: junkang, Liu, et al.
Published: (2025)

FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations
by: Wang, Hui-Po, et al.
Published: (2023)

Zeroth-Order Optimization Finds Flat Minima
by: Zhang, Liang, et al.
Published: (2025)

DP-FedSOFIM: Differentially Private Federated Stochastic Optimization using Regularized Fisher Information Matrix
by: Nair, Sidhant, et al.
Published: (2026)

PDD: Manifold-Prior Diverse Distillation for Medical Anomaly Detection
by: Lu, Xijun, et al.
Published: (2026)

SAFE: Finding Sparse and Flat Minima to Improve Pruning
by: Lee, Dongyeop, et al.
Published: (2025)

CFCML: A Coarse-to-Fine Crossmodal Learning Framework For Disease Diagnosis Using Multimodal Images and Tabular Data
by: Liu, Tianling, et al.
Published: (2026)

Completed Feature Disentanglement Learning for Multimodal MRIs Analysis
by: Liu, Tianling, et al.
Published: (2024)

DP$^2$-FedSAM: Enhancing Differentially Private Federated Learning Through Personalized Sharpness-Aware Minimization
by: Zhang, Zhenxiao, et al.
Published: (2024)

Global Minima by Penalized Full-dimensional Scaling
by: de Leeuw, Jan
Published: (2024)

DP-LDMs: Differentially Private Latent Diffusion Models
by: Liu, Michael F., et al.
Published: (2023)

Cholesteric Liquid Crystal Microdroplets: Fabrication, Structural Control, and Multifunctional Photonic Applications
by: Yuanyuan Shang, et al.
Published: (2025)

DP-OPD: Differentially Private On-Policy Distillation for Language Models
by: Khadem, Fatemeh, et al.
Published: (2026)

DP-CSGP: Differentially Private Stochastic Gradient Push with Compressed Communication
by: Zhu, Zehan, et al.
Published: (2025)

Are Flat Minima an Illusion?
by: Bennett, Michael Timothy
Published: (2026)

PAC-DP: Personalized Adaptive Clipping for Differentially Private Federated Learning
by: Zhou, Hao, et al.
Published: (2026)

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum
by: Gu, Xiaolan, et al.
Published: (2023)

Differentially Private Equilibrium Finding in Polymatrix Games
by: Liu, Mingyang, et al.
Published: (2025)

Differentially Private Multimodal Laplacian Dropout (DP-MLD) for EEG Representative Learning
by: Fu, Xiaowen, et al.
Published: (2024)

Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach
by: Zhang, Hongyang R., et al.
Published: (2023)

Beyond Background Shift: Rethinking Instance Replay in Continual Semantic Segmentation
by: Yin, Hongmei, et al.
Published: (2025)

DP-GENG : Differentially Private Dataset Distillation Guided by DP-Generated Data
by: Shi, Shuo, et al.
Published: (2025)

Differentially Private Integrated Decision Gradients (IDG-DP) for Radar-based Human Activity Recognition
by: Zakariyya, Idris, et al.
Published: (2024)

DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
by: Li, Mingchen, et al.
Published: (2025)

DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning
by: Liu, Yixuan, et al.
Published: (2024)

GradientStabilizer:Fix the Norm, Not the Gradient
by: Huang, Tianjin, et al.
Published: (2025)

DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering
by: Li, Huifa, et al.
Published: (2023)

DRAGD: A Federated Unlearning Data Reconstruction Attack Based on Gradient Differences
by: Ju, Bocheng, et al.
Published: (2025)

DP-NMT: Scalable Differentially-Private Machine Translation
by: Igamberdiev, Timour, et al.
Published: (2023)

DP-KAN: Differentially Private Kolmogorov-Arnold Networks
by: Kalinin, Nikita P., et al.
Published: (2024)

DP-GPL: Differentially Private Graph Prompt Learning
by: Xu, Jing, et al.
Published: (2025)

DP-HYPE: Distributed Differentially Private Hyperparameter Search
by: Liebenow, Johannes, et al.
Published: (2025)

FusionDP: Foundation Model-Assisted Differentially Private Learning for Partially Sensitive Features
by: Zeng, Linghui, et al.
Published: (2025)