Cover Image

APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fan, Kejia, Tang, Jianheng, Yang, Zhirui, Han, Feijiang, Li, Jiaxu, He, Run, Huang, Yajiang, Liu, Anfeng, Song, Houbing Herbert, Liu, Yunhuai, Zhuang, Huiping
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

DeepAFL: Deep Analytic Federated Learning
by: Tang, Jianheng, et al.
Published: (2026)

FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form Solutions
by: Tang, Jianheng, et al.
Published: (2025)

ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation
by: Tang, Jianheng, et al.
Published: (2025)

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)

TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning
by: Li, Jiaxu, et al.
Published: (2024)

Can LLMs Handle WebShell Detection? Overcoming Detection Challenges with Behavioral Function-Aware Framework
by: Han, Feijiang, et al.
Published: (2025)

Analytic Task Scheduler: Recursive Least Squares Based Method for Continual Learning in Embodied Foundation Models
by: Xie, Lipei, et al.
Published: (2025)

Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model
by: Tong, Kai, et al.
Published: (2025)

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
by: Zhuang, Huiping, et al.
Published: (2024)

CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds
by: Li, Jiaxu, et al.
Published: (2024)

RDPP-TD: Reputation and Data Privacy-Preserving based Truth Discovery Scheme in Mobile Crowdsensing
by: Wu, Lijian, et al.
Published: (2025)

AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models
by: He, Run, et al.
Published: (2024)

ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training
by: Han, Feijiang, et al.
Published: (2025)

FilDeep: Learning Large Deformations of Elastic-Plastic Solids with Multi-Fidelity Data
by: Tang, Jianheng, et al.
Published: (2026)

Dual Hierarchical Least-Squares Programming with Equality Constraints
by: Pfeiffer, Kai
Published: (2025)

Environment Invariant Linear Least Squares
by: Fan, Jianqing, et al.
Published: (2023)

A Survey on Symbolic Knowledge Distillation of Large Language Models
by: Acharya, Kamal, et al.
Published: (2024)

A Hybrid Federated Kernel Regularized Least Squares Algorithm
by: Damiani, Celeste, et al.
Published: (2024)

Partitioned Least Squares
by: Esposito, Roberto, et al.
Published: (2020)

Beyond Detection: A Comprehensive Benchmark and Study on Representation Learning for Fine-Grained Webshell Family Classification
by: Han, Feijiang
Published: (2025)

GACL: Exemplar-Free Generalized Analytic Continual Learning
by: Zhuang, Huiping, et al.
Published: (2024)

F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
by: Zhuang, Huiping, et al.
Published: (2024)

Outlier-robust Autocovariance Least Square Estimation via Iteratively Reweighted Least Square
by: Li, Jiahong, et al.
Published: (2026)

A Scale-Shape Dual Newton Method for Entropic Least Squares
by: Barnfield, Nicholas, et al.
Published: (2026)

Algebraic and Statistical Properties of the Ordinary Least Squares Interpolator
by: Shen, Dennis, et al.
Published: (2023)

An Introduction to Total Least Squares
by: de Groen, P. P. N.
Published: (1998)

Weighted Least-Squares PARSIM
by: He, Jiabao, et al.
Published: (2024)

Partial Least Squares Scores
by: Richard G. Brereton
Published: (2026)

Least Squares as Random Walks
by: Kostinski, Alexander, et al.
Published: (2025)

Distributed Least-Squares Optimization Solvers with Differential Privacy
by: Liu, Weijia, et al.
Published: (2024)

Total Least Square Optimal Analytic Signal by Structure Tensor for N-D images
by: Bigun, Josef, et al.
Published: (2020)

Beyond Least Squares: Robust Regression Transformer (R2T)
by: Gutierrez, Roman, et al.
Published: (2025)

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
by: Zhang, Xiang, et al.
Published: (2025)

REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
by: He, Run, et al.
Published: (2024)

Ordinary Least Squares as an Attention Mechanism
by: Coulombe, Philippe Goulet
Published: (2025)

Least Squares Estimation For Hierarchical Data
by: Cumings-Menon, Ryan, et al.
Published: (2024)

Tactics for Improving Least Squares Estimation
by: Heng, Qiang, et al.
Published: (2025)

Data dependent Moving Least Squares
by: Levin, David, et al.
Published: (2024)

The Surprising Robustness of Partial Least Squares
by: Assunção, João B., et al.
Published: (2024)

Shrinkage for Extreme Partial Least-Squares
by: Arbel, Julyan, et al.
Published: (2024)