Cover Image

Federated Multi-Objective Learning with Controlled Pareto Frontiers

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rao, Jiansheng, Li, Jiayi, Gong, Zhizhi, Kar, Soummya, Li, Haoxuan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Federated Multi-Objective Learning
by: Yang, Haibo, et al.
Published: (2023)

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

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

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

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

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

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

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

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

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

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