Copertina

Federated Multi-Objective Learning with Controlled Pareto Frontiers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Rao, Jiansheng, Li, Jiayi, Gong, Zhizhi, Kar, Soummya, Li, Haoxuan
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

Learning Pareto Set for Multi-Objective Continuous Robot Control
di: Shu, Tianye, et al.
Pubblicazione: (2024)

Model-Free Learning and Optimal Policy Design in Multi-Agent MDPs Under Probabilistic Agent Dropout
di: Fiscko, Carmel, et al.
Pubblicazione: (2023)

Approximating Pareto Frontiers in Stochastic Multi-Objective Optimization via Hashing and Randomization
di: Li, Jinzhao, et al.
Pubblicazione: (2026)

Pareto Front-Diverse Batch Multi-Objective Bayesian Optimization
di: Ahmadianshalchi, Alaleh, et al.
Pubblicazione: (2024)

Pareto Set Learning for Multi-Objective Reinforcement Learning
di: Liu, Erlong, et al.
Pubblicazione: (2025)

How to Find the Exact Pareto Front for Multi-Objective MDPs?
di: Li, Yining, et al.
Pubblicazione: (2024)

Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization
di: Ye, Rongguang, et al.
Pubblicazione: (2024)

Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning
di: Röpke, Willem, et al.
Pubblicazione: (2024)

Sharp High-Probability Rates for Nonlinear SGD under Heavy-Tailed Noise via Symmetrization
di: Armacki, Aleksandar, et al.
Pubblicazione: (2025)

Collaborative Pareto Set Learning in Multiple Multi-Objective Optimization Problems
di: Shang, Chikai, et al.
Pubblicazione: (2024)

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach
di: Hairi, Fnu, et al.
Pubblicazione: (2025)

Pareto Multi-Objective Alignment for Language Models
di: He, Qiang, et al.
Pubblicazione: (2025)

Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning
di: Qiu, Shuang, et al.
Pubblicazione: (2024)

User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization
di: Ip, Joshua Hang Sai, et al.
Pubblicazione: (2025)

Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
di: Chen, Weiyu, et al.
Pubblicazione: (2024)

Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
di: Shrestha, Jatan, et al.
Pubblicazione: (2026)

C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
di: Liu, Ruohong, et al.
Pubblicazione: (2024)

Separation-Utility Pareto Frontier: An Information-Theoretic Characterization
di: Xu, Shizhou
Pubblicazione: (2026)

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
di: Li, Moxin, et al.
Pubblicazione: (2025)

A Unified Framework for Center-based Clustering of Distributed Data
di: Armacki, Aleksandar, et al.
Pubblicazione: (2024)

Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance
di: Chen, Lisha, et al.
Pubblicazione: (2025)

BigMac: Breaking the Pareto Frontier of Compute and Memory in Multimodal LLM Training
di: Zhang, Zili, et al.
Pubblicazione: (2026)

Distributed Gradient Clustering: Convergence and the Effect of Initialization
di: Armacki, Aleksandar, et al.
Pubblicazione: (2026)

Decentralized Dynamic Cooperation of Personalized Models for Federated Continual Learning
di: Yang, Danni, et al.
Pubblicazione: (2025)

Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry
di: Armacki, Aleksandar, et al.
Pubblicazione: (2024)

Distributed gradient methods under heavy-tailed communication noise
di: Vukovic, Manojlo, et al.
Pubblicazione: (2025)

Tight Long-Term Tail Decay of (Clipped) SGD in Non-Convex Optimization
di: Armacki, Aleksandar, et al.
Pubblicazione: (2026)

Pareto-Optimal Estimation and Policy Learning on Short-term and Long-term Treatment Effects
di: Wang, Yingrong, et al.
Pubblicazione: (2024)

PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement Learning
di: Hu, Tianmeng, et al.
Pubblicazione: (2026)

Federated Multi-Objective Learning
di: Yang, Haibo, et al.
Pubblicazione: (2023)

Distributed Sign Momentum with Local Steps for Training Transformers
di: Yu, Shuhua, et al.
Pubblicazione: (2024)

Multi-Objective Reinforcement Learning for Large-Scale Mixed Traffic Control
di: Islam, Iftekharul, et al.
Pubblicazione: (2025)

Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems
di: Wilm, Timo, et al.
Pubblicazione: (2024)

A Relative Error-Based Evaluation Framework of Heterogeneous Treatment Effect Estimators
di: Guo, Jiayi, et al.
Pubblicazione: (2025)

The Offline-Frontier Shift: Diagnosing Distributional Limits in Generative Multi-Objective Optimization
di: Holly, Stephanie, et al.
Pubblicazione: (2026)

No Certificate for Alignment: Two Independent Impossibilities and the Pareto Frontier of Achievable Safety Guarantees
di: Agarwal, Ayushi
Pubblicazione: (2026)

Learning Pareto-Optimal Rewards from Noisy Preferences: A Framework for Multi-Objective Inverse Reinforcement Learning
di: Cherukuri, Kalyan, et al.
Pubblicazione: (2025)

The Pareto Frontier of Resilient Jet Tagging
di: Gambhir, Rikab, et al.
Pubblicazione: (2025)

Sequential Learning of the Pareto Front for Multi-objective Bandits
di: Crépon, Elise, et al.
Pubblicazione: (2025)

Pushing Forward Pareto Frontiers of Proactive Agents with Behavioral Agentic Optimization
di: Yao, Yihang, et al.
Pubblicazione: (2026)