Copertina

Fair Resource Allocation in Multi-Task Learning

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Ban, Hao, Ji, Kaiyi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation
di: Ban, Hao, et al.
Pubblicazione: (2025)

Rethinking Parameter Sharing for LLM Fine-Tuning with Multiple LoRAs
di: Ban, Hao, et al.
Pubblicazione: (2025)

Theoretical Study of Conflict-Avoidant Multi-Objective Reinforcement Learning
di: Wang, Yudan, et al.
Pubblicazione: (2024)

LDC-MTL: Balancing Multi-Task Learning through Scalable Loss Discrepancy Control
di: Xiao, Peiyao, et al.
Pubblicazione: (2025)

Meta-Learning with Heterogeneous Tasks
di: Si, Zhaofeng, et al.
Pubblicazione: (2024)

DECAF: Learning to be Fair in Multi-agent Resource Allocation
di: Kumar, Ashwin, et al.
Pubblicazione: (2025)

Tuning-Free Bilevel Optimization: New Algorithms and Convergence Analysis
di: Yang, Yifan, et al.
Pubblicazione: (2024)

Turning Back Without Forgetting: Selective Backward Refinement for Parameter-Efficient Continual Learning
di: Tiwari, Anushka, et al.
Pubblicazione: (2026)

Fair Resource Allocation for Fleet Intelligence
di: Baser, Oguzhan, et al.
Pubblicazione: (2025)

Lower Complexity Bounds for Nonconvex-Strongly-Convex Bilevel Optimization with First-Order Oracles
di: Ji, Kaiyi
Pubblicazione: (2025)

GRID: Scalable Task-Agnostic Prompt-Based Continual Learning for Language Models
di: Tiwari, Anushka, et al.
Pubblicazione: (2025)

Deep Reinforcement Learning for Efficient and Fair Allocation of Health Care Resources
di: Li, Yikuan, et al.
Pubblicazione: (2023)

Fair Resource Allocation in Weakly Coupled Markov Decision Processes
di: Tu, Xiaohui, et al.
Pubblicazione: (2024)

DeepMTL2R: A Library for Deep Multi-task Learning to Rank
di: Dong, Chaosheng, et al.
Pubblicazione: (2026)

Provable Effects of Data Replay in Continual Learning: A Feature Learning Perspective
di: Ding, Meng, et al.
Pubblicazione: (2026)

Heterogeneous Resource Allocation with Multi-task Learning for Wireless Networks
di: Mitsiou, Nikos A., et al.
Pubblicazione: (2025)

FairMT: Fairness for Heterogeneous Multi-Task Learning
di: Hu, Guanyu, et al.
Pubblicazione: (2025)

Group Fairness in Multi-Task Reinforcement Learning
di: Song, Kefan, et al.
Pubblicazione: (2025)

Online Fair Allocation of Perishable Resources
di: Banerjee, Siddhartha, et al.
Pubblicazione: (2024)

Understanding Forgetting in Continual Learning with Linear Regression
di: Ding, Meng, et al.
Pubblicazione: (2024)

Towards Reward Fairness in RLHF: From a Resource Allocation Perspective
di: Ouyang, Sheng, et al.
Pubblicazione: (2025)

Fair Resource Allocation in Virtualized O-RAN Platforms
di: Aslan, Fatih, et al.
Pubblicazione: (2024)

Multi-Task Combinatorial Bandits for Budget Allocation
di: Ge, Lin, et al.
Pubblicazione: (2024)

Small-Scale-Fading-Aware Resource Allocation in Wireless Federated Learning
di: Wang, Jiacheng, et al.
Pubblicazione: (2025)

Fairness in Multi-Task Learning via Wasserstein Barycenters
di: Hu, François, et al.
Pubblicazione: (2023)

Regularized Proportional Fairness Mechanism for Resource Allocation Without Money
di: Zeng, Sihan, et al.
Pubblicazione: (2025)

Active Learning for Fair and Stable Online Allocations
di: Bhattacharya, Riddhiman, et al.
Pubblicazione: (2024)

Decentralized Reinforcement Learning for Multi-Agent Multi-Resource Allocation via Dynamic Cluster Agreements
di: Marino, Antonio, et al.
Pubblicazione: (2025)

On the Low-Complexity of Fair Learning for Combinatorial Multi-Armed Bandit
di: Wu, Xiaoyi, et al.
Pubblicazione: (2025)

FedMABA: Towards Fair Federated Learning through Multi-Armed Bandits Allocation
di: Wang, Zhichao, et al.
Pubblicazione: (2024)

Bandit Max-Min Fair Allocation
di: Harada, Tsubasa, et al.
Pubblicazione: (2025)

Learning Optimal and Fair Policies for Online Allocation of Scarce Societal Resources from Data Collected in Deployment
di: Tang, Bill, et al.
Pubblicazione: (2023)

Learning Structured Compressed Sensing with Automatic Resource Allocation
di: Wang, Han, et al.
Pubblicazione: (2024)

Hidden Representation Clustering with Multi-Task Representation Learning towards Robust Online Budget Allocation
di: Wang, Xiaohan, et al.
Pubblicazione: (2025)

Decentralized Fairness Aware Multi Task Federated Learning for VR Network
di: Tharakan, Krishnendu S., et al.
Pubblicazione: (2025)

Transferring Fairness using Multi-Task Learning with Limited Demographic Information
di: Aguirre, Carlos, et al.
Pubblicazione: (2023)

Spatiotemporal Attention-Augmented Inverse Reinforcement Learning for Multi-Agent Task Allocation
di: Yin, Huilin, et al.
Pubblicazione: (2025)

Achieving ${O}(ε^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization
di: Yang, Yifan, et al.
Pubblicazione: (2023)

ATA: Adaptive Task Allocation for Efficient Resource Management in Distributed Machine Learning
di: Maranjyan, Artavazd, et al.
Pubblicazione: (2025)

DynamicFL: Federated Learning with Dynamic Communication Resource Allocation
di: Le, Qi, et al.
Pubblicazione: (2024)