Imagen de Portada

$f$-FUM: Federated Unlearning via min--max and $f$-divergence

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Karimian, Radmehr, Bagheri, Amirhossein, Kurmanji, Meghdad, Lane, Nicholas D., Aminian, Gholamali
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Robust Semi-supervised Learning via $f$-Divergence and $α$-Rényi Divergence
por: Aminian, Gholamali, et al.
Publicado: (2024)

Position: Bridge the Gaps between Machine Unlearning and AI Regulation
por: Marino, Bill, et al.
Publicado: (2025)

Generalization Error of $f$-Divergence Stabilized Algorithms via Duality
por: Daunas, Francisco, et al.
Publicado: (2025)

LLM Unlearning via Neural Activation Redirection
por: Shen, William F., et al.
Publicado: (2025)

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
por: Li, Zexi, et al.
Publicado: (2025)

How Data Inter-connectivity Shapes LLMs Unlearning: A Structural Unlearning Perspective
por: Qiu, Xinchi, et al.
Publicado: (2024)

Task-Centric Personalized Federated Fine-Tuning of Language Models
por: Talasso, Gabriel U., et al.
Publicado: (2026)

Understanding Transfer Learning via Mean-field Analysis
por: Aminian, Gholamali, et al.
Publicado: (2024)

Response-Conditioned Parallel-to-Sequential Orchestration for Multi-Agent Systems
por: Tastan, Nurbek, et al.
Publicado: (2026)

ReDiF: Reinforced Distillation for Few Step Diffusion
por: Tighkhorshid, Amirhossein, et al.
Publicado: (2025)

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
por: Aminian, Gholamali, et al.
Publicado: (2022)

Private Synthetic Graph Generation and Fused Gromov-Wasserstein Distance
por: Wirth, Leoni Carla, et al.
Publicado: (2025)

DEPT: Decoupled Embeddings for Pre-training Language Models
por: Iacob, Alex, et al.
Publicado: (2024)

KL-Regularized RLHF with Multiple Reference Models: Exact Solutions and Sample Complexity
por: Aminian, Gholamali, et al.
Publicado: (2025)

UPL: Uncertainty-aware Pseudo-labeling for Imbalance Transductive Node Classification
por: Teimuri, Mohammad T., et al.
Publicado: (2025)

Variational f-divergence Minimization
por: Zhang, Mingtian, et al.
Publicado: (2019)

What makes unlearning hard and what to do about it
por: Zhao, Kairan, et al.
Publicado: (2024)

On the Generalization and Robustness in Conditional Value-at-Risk
por: Mulumudi, Dinesh Karthik, et al.
Publicado: (2026)

MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
por: Iacob, Alex, et al.
Publicado: (2025)

$f$-PO: Generalizing Preference Optimization with $f$-divergence Minimization
por: Han, Jiaqi, et al.
Publicado: (2024)

Best-of-N through the Smoothing Lens: KL Divergence and Regret Analysis
por: Aminian, Gholamali, et al.
Publicado: (2025)

AbbIE: Autoregressive Block-Based Iterative Encoder for Efficient Sequence Modeling
por: Aleksandrov, Preslav, et al.
Publicado: (2025)

DES-LOC: Desynced Low Communication Adaptive Optimizers for Training Foundation Models
por: Iacob, Alex, et al.
Publicado: (2025)

Generalization Error of Graph Neural Networks in the Mean-field Regime
por: Aminian, Gholamali, et al.
Publicado: (2024)

Bounds on Lp errors in density ratio estimation via f-divergence loss functions
por: Kitazawa, Yoshiaki
Publicado: (2024)

Multi-Objective $\textit{min-max}$ Online Convex Optimization
por: Vaze, Rahul, et al.
Publicado: (2025)

Glivenko-Cantelli for $f$-divergence
por: Wang, Haoming, et al.
Publicado: (2025)

On approximating the $f$-divergence between two Ising models
por: Feng, Weiming, et al.
Publicado: (2025)

Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning
por: Behnamnia, Armin, et al.
Publicado: (2025)

Mirror Descent-Ascent for mean-field min-max problems
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)

Generalization and Robustness of the Tilted Empirical Risk
por: Aminian, Gholamali, et al.
Publicado: (2024)

Equalized Generative Treatment: Matching f-divergences for Fairness in Generative Models
por: Verine, Alexandre, et al.
Publicado: (2026)

Brain Effective Connectome based on fMRI and DTI Data: Bayesian Causal Learning and Assessment
por: Bagheri, Abdolmahdi, et al.
Publicado: (2023)

A Unified Framework for Diffusion Model Unlearning with f-Divergence
por: Novello, Nicola, et al.
Publicado: (2025)

A 4-approximation algorithm for min max correlation clustering
por: Heidrich, Holger, et al.
Publicado: (2023)

Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold
por: Zhang, Sixin
Publicado: (2024)

Bringing Federated Learning to Space
por: Kim, Grace, et al.
Publicado: (2025)

Semi-pessimistic Reinforcement Learning
por: Zhu, Jin, et al.
Publicado: (2025)

Vertical Federated Unlearning via Backdoor Certification
por: Han, Mengde, et al.
Publicado: (2024)

A Fisher-Rao gradient flow for entropic mean-field min-max games
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)