Copertina

Tackling Federated Unlearning as a Parameter Estimation Problem

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Balordi, Antonio, Manini, Lorenzo, Stella, Fabio, Merlo, Alessio
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning Artificial Intelligence Information Theory
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Machine Unlearning via Information Theoretic Regularization
di: Xu, Shizhou, et al.
Pubblicazione: (2025)

K*-Means: A Parameter-free Clustering Algorithm
di: Mahon, Louis, et al.
Pubblicazione: (2025)

Subgraph Federated Learning via Spectral Methods
di: Aliakbari, Javad, et al.
Pubblicazione: (2025)

Scalable Hierarchical Over-the-Air Federated Learning
di: Azimi-Abarghouyi, Seyed Mohammad, et al.
Pubblicazione: (2022)

Score-Based Variational Inference for Inverse Problems
di: Xue, Zhipeng, et al.
Pubblicazione: (2024)

Over-the-Air Federated Learning via Weighted Aggregation
di: Azimi-Abarghouyi, Seyed Mohammad, et al.
Pubblicazione: (2024)

Digital Over-the-Air Federated Learning in Multi-Antenna Systems
di: Wang, Sihua, et al.
Pubblicazione: (2023)

Hierarchical Over-the-Air Federated Learning with Awareness of Interference and Data Heterogeneity
di: Azimi-Abarghouyi, Seyed Mohammad, et al.
Pubblicazione: (2024)

Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization
di: Yu, Wenrui, et al.
Pubblicazione: (2024)

Over-the-Air Federated Learning: Rethinking Edge AI Through Signal Processing
di: Azimi-Abarghouyi, Seyed Mohammad, et al.
Pubblicazione: (2025)

Diffusion Model-Based Data Synthesis Aided Federated Semi-Supervised Learning
di: Wang, Zhongwei, et al.
Pubblicazione: (2025)

Random Aggregate Beamforming for Over-the-Air Federated Learning in Large-Scale Networks
di: Xu, Chunmei, et al.
Pubblicazione: (2024)

Compute-Update Federated Learning: A Lattice Coding Approach Over-the-Air
di: Azimi-Abarghouyi, Seyed Mohammad, et al.
Pubblicazione: (2024)

MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
di: Tohme, Tony, et al.
Pubblicazione: (2023)

Adaptive Semantic Token Selection for AI-native Goal-oriented Communications
di: Devoto, Alessio, et al.
Pubblicazione: (2024)

Neural Estimation of Pairwise Mutual Information in Masked Discrete Sequence Models
di: Sharma, Jai, et al.
Pubblicazione: (2026)

Estimating Mutual Information between Time Series and Temporal Event Sequences Across Diverse Analysis Tasks
di: Hu, Haoji, et al.
Pubblicazione: (2026)

Does Privacy Always Harm Fairness? Data-Dependent Trade-offs via Chernoff Information Neural Estimation
di: Nichani, Arjun, et al.
Pubblicazione: (2026)

Large Language Models for Telecom: Forthcoming Impact on the Industry
di: Maatouk, Ali, et al.
Pubblicazione: (2023)

Hybrid Federated Learning for Noise-Robust Training
di: Kim, Yongjun, et al.
Pubblicazione: (2026)

Forgetting-MarI: LLM Unlearning via Marginal Information Regularization
di: Xu, Shizhou, et al.
Pubblicazione: (2025)

LZ Penalty: An information-theoretic repetition penalty for autoregressive language models
di: Ginart, Antonio A., et al.
Pubblicazione: (2025)

On Inverse Problems, Parameter Estimation, and Domain Generalization
di: Pereg, Deborah
Pubblicazione: (2025)

The Agent Capability Problem: Predicting Solvability Through Information-Theoretic Bounds
di: Lutati, Shahar
Pubblicazione: (2025)

Pre-training for Recommendation Unlearning
di: Chen, Guoxuan, et al.
Pubblicazione: (2025)

Persistent Entropy as a Detector of Phase Transitions
di: Rucco, Matteo
Pubblicazione: (2026)

Redundancy as a Structural Information Principle for Learning and Generalization
di: Bi, Yuda, et al.
Pubblicazione: (2025)

Laplace Sample Information: Data Informativeness Through a Bayesian Lens
di: Kaiser, Johannes, et al.
Pubblicazione: (2025)

Subgraph Pooling: Tackling Negative Transfer on Graphs
di: Wang, Zehong, et al.
Pubblicazione: (2024)

Contextual Control without Memory Growth in a Context-Switching Task
di: Kim, Song-Ju
Pubblicazione: (2026)

Simple Convergence Proof of Adam From a Sign-like Descent Perspective
di: Peng, Hanyang, et al.
Pubblicazione: (2025)

Flexible Variational Information Bottleneck: Achieving Diverse Compression with a Single Training
di: Kudo, Sota, et al.
Pubblicazione: (2024)

Rethinking KV Cache Eviction via a Unified Information-Theoretic Objective
di: Yang, Jiaming, et al.
Pubblicazione: (2026)

Know Your Limits: Entropy Estimation Modeling for Compression and Generalization
di: Badger, Benjamin L., et al.
Pubblicazione: (2025)

FAdam: Adam is a natural gradient optimizer using diagonal empirical Fisher information
di: Hwang, Dongseong
Pubblicazione: (2024)

Physically Parameterized Differentiable MUSIC for DoA Estimation with Uncalibrated Arrays
di: Chatelier, Baptiste, et al.
Pubblicazione: (2024)

Enhancing User Throughput in Multi-panel mmWave Radio Access Networks for Beam-based MU-MIMO Using a DRL Method
di: Hashemi, Ramin, et al.
Pubblicazione: (2026)

Machine Unlearning for Recommendation Systems: An Insight
di: Sachdeva, Bhavika, et al.
Pubblicazione: (2024)

Semantic Channel Equalization Strategies for Deep Joint Source-Channel Coding
di: Pannacci, Lorenzo, et al.
Pubblicazione: (2025)

Compressing Chemistry Reveals Functional Groups
di: Sharma, Ruben, et al.
Pubblicazione: (2025)