Copertina

Distributionally Robust Federated Learning: An ADMM Algorithm

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Bai, Wen, Wong, Yi, Qiao, Xiao, Ho, Chin Pang
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Efficient Algorithms for Robust Markov Decision Processes with $s$-Rectangular Ambiguity Sets
di: Ho, Chin Pang, et al.
Pubblicazione: (2026)

On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness
di: Zhu, Shengkun, et al.
Pubblicazione: (2024)

DRL-ORA: Distributional Reinforcement Learning with Online Risk Adaption
di: Wu, Yupeng, et al.
Pubblicazione: (2023)

Policy Gradient in Robust MDPs with Global Convergence Guarantee
di: Wang, Qiuhao, et al.
Pubblicazione: (2022)

A GPU-Accelerated Bi-linear ADMM Algorithm for Distributed Sparse Machine Learning
di: Olama, Alireza, et al.
Pubblicazione: (2024)

Federated Smoothing ADMM for Localization
di: Mirzaeifard, Reza, et al.
Pubblicazione: (2025)

Noise-Robust and Resource-Efficient ADMM-based Federated Learning
di: Lari, Ehsan, et al.
Pubblicazione: (2024)

Connecting Federated ADMM to Bayes
di: Swaroop, Siddharth, et al.
Pubblicazione: (2025)

Distributed Event-Based Learning via ADMM
di: Er, Guner Dilsad, et al.
Pubblicazione: (2024)

Federated Learning Using Three-Operator ADMM
di: Kant, Shashi, et al.
Pubblicazione: (2022)

Smoothing ADMM for Non-convex and Non-smooth Hierarchical Federated Learning
di: Mirzaeifard, Reza, et al.
Pubblicazione: (2025)

FedAPM: Federated Learning via ADMM with Partial Model Personalization
di: Zhu, Shengkun, et al.
Pubblicazione: (2025)

Policy Gradient for Robust Markov Decision Processes
di: Wang, Qiuhao, et al.
Pubblicazione: (2024)

Federated ADMM from Bayesian Duality
di: Möllenhoff, Thomas, et al.
Pubblicazione: (2025)

Distributionally Robust Federated Learning with Outlier Resilience
di: Wang, Zifan, et al.
Pubblicazione: (2025)

Personalized Federated Learning via ADMM with Moreau Envelope
di: Zhu, Shengkun, et al.
Pubblicazione: (2023)

FedADMM-InSa: An Inexact and Self-Adaptive ADMM for Federated Learning
di: Song, Yongcun, et al.
Pubblicazione: (2024)

Joint Cooperative and Non-Cooperative Localization in WSNs with Distributed Scaled Proximal ADMM Algorithms
di: Zhu, Qiaojia, et al.
Pubblicazione: (2025)

Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
di: Xie, Chulin, et al.
Pubblicazione: (2022)

Communication-Efficient Distributed Asynchronous ADMM
di: Shrestha, Sagar
Pubblicazione: (2025)

Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare
di: Konti, Xenia, et al.
Pubblicazione: (2024)

BADM: Batch ADMM for Deep Learning
di: Wang, Ouya, et al.
Pubblicazione: (2024)

Semi-supervised Graph Anomaly Detection via Robust Homophily Learning
di: Ai, Guoguo, et al.
Pubblicazione: (2025)

Hierarchical Federated ADMM
di: Azimi-Abarghouyi, Seyed Mohammad, et al.
Pubblicazione: (2024)

Distributionally Robust Federated Learning with Client Drift Minimization
di: Krouka, Mounssif, et al.
Pubblicazione: (2025)

Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective
di: Taya, Akihito, et al.
Pubblicazione: (2026)

Benchmarking Algorithms for Federated Domain Generalization
di: Bai, Ruqi, et al.
Pubblicazione: (2023)

The ADMM-PINNs Algorithmic Framework for Nonsmooth PDE-Constrained Optimization: A Deep Learning Approach
di: Song, Yongcun, et al.
Pubblicazione: (2023)

Learning Multi-Agent Coordination via Sheaf-ADMM
di: Seely, Jeffrey, et al.
Pubblicazione: (2026)

FedRE: Robust and Effective Federated Learning with Privacy Preference
di: Xiao, Tianzhe, et al.
Pubblicazione: (2025)

ADMM Algorithms for Residual Network Training: Convergence Analysis and Parallel Implementation
di: Xu, Jintao, et al.
Pubblicazione: (2023)

Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and Analysis
di: Jiao, Yang, et al.
Pubblicazione: (2023)

Mitigating Spurious Correlation via Distributionally Robust Learning with Hierarchical Ambiguity Sets
di: Jo, Sung Ho, et al.
Pubblicazione: (2025)

Limited Communications Distributed Optimization via Deep Unfolded Distributed ADMM
di: Noah, Yoav, et al.
Pubblicazione: (2023)

Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts
di: Najafi, Amir, et al.
Pubblicazione: (2024)

Adversarial Robustness Unhardening via Backdoor Attacks in Federated Learning
di: Kim, Taejin, et al.
Pubblicazione: (2023)

CoCoA Is ADMM: Unifying Two Paradigms in Distributed Optimization
di: Wu, Runxiong, et al.
Pubblicazione: (2025)

Certifiably-Robust Federated Adversarial Learning via Randomized Smoothing
di: Chen, Cheng, et al.
Pubblicazione: (2021)

3D-Learning: Diffusion-Augmented Distributionally Robust Decision-Focused Learning
di: Wen, Jiaqi, et al.
Pubblicazione: (2026)

Learning to Coordinate: Distributed Meta-Trajectory Optimization Via Differentiable ADMM-DDP
di: Wang, Bingheng, et al.
Pubblicazione: (2025)