- [2402.15638] Fair Resource Allocation in Multi|Task Learning🔍
- OptMN|Lab/fairgrad🔍
- Fair Resource Allocation in Multi|Task Learning🔍
- Multi|Resource Allocation🔍
- Multi|Task Resource Allocation and Task Offloading via Multi|Agent ...🔍
- Machine Learning Based Fair Resource Allocation Leveraging User ...🔍
- A Multi|Commodity Flow Problem for Fair Resource Allocation in ...🔍
- FAIR RESOURCE ALLOCATION IN FEDERATED LEARNING🔍
Fair Resource Allocation in Multi|Task Learning
[2402.15638] Fair Resource Allocation in Multi-Task Learning - arXiv
We propose FairGrad, a novel MTL optimization method. FairGrad not only enables flexible emphasis on certain tasks but also achieves a theoretical convergence ...
OptMN-Lab/fairgrad: Official implementation of "Fair ... - GitHub
Official implementation of "Fair Resource Allocation in Multi-Task Learning" [ICML 2024] - OptMN-Lab/fairgrad.
Fair Resource Allocation in Multi-Task Learning - OpenReview
By jointly learning multiple tasks, multi-task learning (MTL) can leverage the shared knowl- edge across tasks, resulting in improved data effi- ciency and ...
Multi-Resource Allocation: Fairness-Efficiency Tradeoffs in a ...
Many allocations might be considered “fair” in this exam- ple: should users be allocated resources in proportion to their resource requirements? Or should they ...
Multi-Task Resource Allocation and Task Offloading via Multi-Agent ...
In this paper, we propose a DNN inference acceleration strategy based on deep reinforcement learning (DRL) for edge computing collaborative ...
Machine Learning Based Fair Resource Allocation Leveraging User ...
Multi-antenna technology has been leveraged in the past decades to meet the continuous demand for increased system capacity.
A Multi-Commodity Flow Problem for Fair Resource Allocation in ...
Diamond S., Boyd S. CVXPY: A Python-embedded modeling language for convex optimization. Journal of Machine Learning Research, 17 (83) (2016), pp. 1-5. Google ...
FAIR RESOURCE ALLOCATION IN FEDERATED LEARNING
inspired by fair resource allocation in wireless networks that encourages a more fair ... Federated multi-task learning. In Advances in Neural Information ...
Fair Resource Allocation in Multi-commodity Networks - SpringerLink
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
A Cost-Efficient and Fair Multi-Resource Allocation Mechanism for ...
In this paper, we study cost-efficient and fair allocation of multiple types of resources in an environment of heterogeneous and self-organizing servers.
Fair Resource Allocation in Federated Learning - AI at Meta
In this work, we propose q-Fair Federated Learning (q-FFL), a novel optimization objective inspired by fair resource allocation in wireless networks.
"Multi-type Fair Resource Allocation for Distributed Multi-Robot " by ...
... task at a time, tasks are divisible, and accomplishing ... Keywords. Deep Q Learning, Fair Resource Allocation, Multi-robot System, Reinforcement Learning ...
A fair task and time allocation of multiple human operators using ...
... fair decentralized resource allocation of multi human operators using cooperative bargaining game. We study a dynamic stochastic queue with a latency ...
Fair Resource Allocation in Federated Learning - Semantic Scholar
This work proposes q-Fair Federated Learning (q-FFL), a novel optimization objective inspired by fair resource allocation in wireless networks that ...
(PDF) Effective 3C Resource Utilization and Fair Allocation Strategy ...
tasks under resource constraints has not been well addressed. Thirdly, the optimization algorithm for multi-task federated. learning [ ...
Effective 3C Resource Utilization and Fair Allocation Strategy for ...
Effective 3C Resource Utilization and Fair Allocation Strategy for Multi-Task Federated Learning. Abstract: Nowadays, one of the main ...
Group-Fair Online Allocation in Continuous Time
Two potential extreme allocations are: (i) Reward-maximizing task allocation: The ... learning for fair resource allocation in cloud computing systems. In a very ...
Dynamic Multi-Resource Fair Allocation with Elastic Demands
In this paper, we study dynamic multi-resource maximin share fair allocation based on the elastic demands of users in a cloud computing system.
Machine Learning Based Fair Resource Allocation Leveraging User ...
... Learning Based Fair Resource Allocation Leveraging User Coordinates in Multi-Antenna Systems | Find, read and cite all the research you need ...
Fair and Efficient Multi-Resource Allocation for Cloud Computing
We study the problem of allocating multiple types of resources to ... Task Scheduling and Resource Allocation in Cloud Computing : A Review and Analysis.