Copertina

Towards Layer-Wise Personalized Federated Learning: Adaptive Layer Disentanglement via Conflicting Gradients

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Nguyen, Minh Duong, Le, Khanh, Do, Khoi, Tran, Nguyen H., Nguyen, Duc, Trinh, Chien, Yang, Zhaohui
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

PAT: Pixel-wise Adaptive Training for Long-tailed Segmentation
di: Do, Khoi, et al.
Pubblicazione: (2024)

Computation and Communication Efficient Federated Unlearning via On-server Gradient Conflict Mitigation and Expression
di: Nguyen, Minh-Duong, et al.
Pubblicazione: (2026)

Improving Generalization in Heterogeneous Federated Continual Learning via Spatio-Temporal Gradient Matching with Prototypical Coreset
di: Nguyen, Minh-Duong, et al.
Pubblicazione: (2025)

SwiftPie: Lightning-fast Subject-driven Image Personalization via One step Diffusion
di: Duong, Huy, et al.
Pubblicazione: (2026)

Domain Generalization via Pareto Optimal Gradient Matching
di: Do, Khoi, et al.
Pubblicazione: (2025)

Enhancing Gradient Variance and Differential Privacy in Quantum Federated Learning
di: Phan, Duc-Thien, et al.
Pubblicazione: (2025)

FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks
di: Nguyen, Duong H., et al.
Pubblicazione: (2024)

Bridging the Reasoning Gap in Vietnamese with Small Language Models via Test-Time Scaling
di: Trung, Bui The, et al.
Pubblicazione: (2026)

Revisiting LARS for Large Batch Training Generalization of Neural Networks
di: Do, Khoi, et al.
Pubblicazione: (2023)

Optimizing Personalized Federated Learning through Adaptive Layer-Wise Learning
di: Chen, Weihang, et al.
Pubblicazione: (2024)

Revisiting the Disequilibrium Issues in Tackling Heart Disease Classification Tasks
di: Hoang, Thao, et al.
Pubblicazione: (2024)

Adaptive Layer-Wise Transformations for Post-Training Quantization of Large Language Models
di: Pham, Cuong, et al.
Pubblicazione: (2025)

Enhanced Multimodal Video Retrieval System: Integrating Query Expansion and Cross-modal Temporal Event Retrieval
di: Vo, Van-Thinh, et al.
Pubblicazione: (2025)

Knowledge Abstraction for Knowledge-based Semantic Communication: A Generative Causality Invariant Approach
di: Nguyen, Minh-Duong, et al.
Pubblicazione: (2025)

Torsion subgroups of Whitehead groups of graded division algebras
di: Khanh, Huynh Viet, et al.
Pubblicazione: (2024)

Energy-Efficient and Real-Time Sensing for Federated Continual Learning via Sample-Driven Control
di: Luu, Minh Ngoc, et al.
Pubblicazione: (2023)

Branching rule on winding subalgebras of affine Kac-Moody algebras
di: Duc, Khanh Nguyen
Pubblicazione: (2025)

A generalization of the Murnaghan-Nakayama rule for $K$-$k$-Schur and $k$-Schur functions
di: Duc, Khanh Nguyen
Pubblicazione: (2022)

Branching rules for winding subalgebras of the affine Kac--Moody algebras $A^{(1)}_1$ and $A^{(2)}_2$
di: Duc, Khanh Nguyen
Pubblicazione: (2019)

On the Shifted Littlewood-Richardson Coefficients and Littlewood-Richardson Coefficients
di: Duc, Khanh Nguyen
Pubblicazione: (2020)

Steenrod Lengths and a Problem of Vakil
di: Duc, Khanh Nguyen
Pubblicazione: (2021)

Adjusted Shuffling SARAH: Advancing Complexity Analysis via Dynamic Gradient Weighting
di: Nguyen, Duc Toan, et al.
Pubblicazione: (2025)

Graphilosophy: Graph-Based Digital Humanities Computing with The Four Books
di: Do, Minh-Thu, et al.
Pubblicazione: (2026)

Phantasia: Context-Adaptive Backdoors in Vision Language Models
di: Tran, Nam Duong, et al.
Pubblicazione: (2026)

CSD-VAR: Content-Style Decomposition in Visual Autoregressive Models
di: Nguyen, Quang-Binh, et al.
Pubblicazione: (2025)

Higher complex Sobolev spaces on complex manifolds
di: Do, Thai Duong, et al.
Pubblicazione: (2024)

ECG-RAMBA: Zero-Shot ECG Generalization by Morphology-Rhythm Disentanglement and Long-Range Modeling
di: Nguyen, Hai Duong, et al.
Pubblicazione: (2025)

FrameDiT: Diffusion Transformer with Matrix Attention for Efficient Video Generation
di: Le, Minh Khoa, et al.
Pubblicazione: (2026)

CPAM: Context-Preserving Adaptive Manipulation for Zero-Shot Real Image Editing
di: Vo, Dinh-Khoi, et al.
Pubblicazione: (2025)

How Homogenizing the Channel-wise Magnitude Can Enhance EEG Classification Model?
di: Ngo, Huyen, et al.
Pubblicazione: (2024)

Decentralized Federated Learning with Gradient Tracking over Time-Varying Directed Networks
di: Nguyen, Duong Thuy Anh, et al.
Pubblicazione: (2024)

Enhancing Visual Feature Attribution via Weighted Integrated Gradients
di: Tuan, Kien Tran Duc, et al.
Pubblicazione: (2025)

Any3DIS: Class-Agnostic 3D Instance Segmentation by 2D Mask Tracking
di: Nguyen, Phuc, et al.
Pubblicazione: (2024)

A Steepest Gradient Method with Nonmonotone Adaptive Step-sizes for the Nonconvex Minimax and Multi-Objective Optimization Problems
di: Anh, Nguyen Duc, et al.
Pubblicazione: (2025)

Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training
di: Tun, Ye Lin, et al.
Pubblicazione: (2024)

Adaptive Cache Enhancement for Test-Time Adaptation of Vision-Language Models
di: Nguyen, Khanh-Binh, et al.
Pubblicazione: (2025)

iCONTRA: Toward Thematic Collection Design Via Interactive Concept Transfer
di: Vo, Dinh-Khoi, et al.
Pubblicazione: (2024)

Dynamic Retraining-Updating Mean Teacher for Source-Free Object Detection
di: Khanh, Trinh Le Ba, et al.
Pubblicazione: (2024)

Optimization of maximal quantum f-divergences between unitary orbits
di: Nguyen, Hoang Minh, et al.
Pubblicazione: (2026)

Harnessing Chemical Diversity to Disarm Bacterial Communication for 25 Years: Natural Products, Repurposed Drugs, Peptides, and Synthetic Quorum Sensing Inhibitors
di: Tung Truong‐Thanh, et al.
Pubblicazione: (2025)