Fair Resource Allocation in Multi|Task Learning

Job Scheduling - Spark 3.5.3 Documentation - Apache Spark

Spark includes a fair scheduler to schedule resources within each SparkContext. ... Resource allocation can be configured as follows, based on the cluster type:.

EC'19 Tutorial: Recent Advances in Fair Resource Allocation (Part 2)

Tutorial at the 20th ACM Conference on Economics and Computation (EC'19), Phoenix, AZ, June 24, 2019: Title: Recent Advances in Fair ...

On Max-min Fair Allocation for Multi-source Transmission

Max-min fair is widely used in network tra c engineering to allo- cate available resources among di erent tra c transfers. Recently, as data replication ...

Fair and Efficient Resource Allocation with Partial Information | IJCAI

We study the fundamental problem of allocating indivisible goods to agents with additive preferences. ... Agent-based and Multi-agent Systems: Resource Allocation.

Max-Min Fair Resource Allocation in Millimetre-Wave Backhauls

task, consider the example scenario illustrated in Fig. 1, where 6 base ... Max-min fair allocation in multi-hop mm-wave networks exists and it is ...

Group-Fair Online Allocation in Continuous Time - NSF PAR

Two potential extreme allocations are: (i) Reward-maximizing task allocation: The ... learning for fair resource allocation in cloud computing systems. In a very ...

Multi-Agent Deep Reinforcement Learning for Channel Resource ...

Experimental results show that the proposed method can achieve fair and efficient channel resource allocation for each vehicle under various ...

Fair multiresource allocation with access constraint in cloud–edge ...

List of references · Zhang, Security computing resource allocation based on deep reinforcement learning in serverless multi-cloud edge computing, Future Gener.

A Multi-Agent Learning Approach to Online Distributed Resource ...

However, as task (also referred to applications services) allocation requests vary across clus- ters, a cluster may need to dynamically decide what tasks to ...

Fair and Welfare-Efficient Constrained Multi-matchings under ...

We study fair allocation of constrained resources, where a market designer opti- mizes overall welfare while maintaining group fairness. In many large-scale ...

Fair and Efficient Resource Scheduling in Heterogeneous Multi ...

scheduler, which then undertakes the challenging task of optimizing resource allocation based on these preferences. ... Machine learning (ML)-centric resource ...

Fair Linking Mechanisms for Resource Allocation with Correlated ...

Keywords Resource Allocation, Task Allocation, Linking Mechanism,. Fairness, Player Correlation. Agustın Santos. (Corresponding author). Institute. IMDEA.

No-regret Algorithms for Fair Resource Allocation - NIPS papers

We call the resulting online learning policy. ONLINE FAIR ALLOCATION (OFA). ... Fair contextual multi-armed bandits: theory and experiments. In Conference ...

Fair Resource Allocation For Hierarchical Federated Edge Learning ...

... multi-layer cooperation capabilities. However, integrating hierarchical federated learning (HFL) with edge computing and SAGINs remains a complex open issue ...

Resource Allocation in Uplink NOMA-IoT Networks

Index Terms— Deep reinforcement learning, Internet of. Things, non-orthogonal multiple access, power allocation, SARSA learning, user clustering. I.

AutoPath: Harnessing Parallel Execution Paths for Efficient ...

Resource Allocation in Multi-stage Big Data Frameworks. Han Gao. ∗. , Zhengyu ... resource allocation and task scheduling become challenging. Given the ...

Learning Fair Policies in Decentralized Cooperative Multi-Agent ...

For instance, in a resource collection task, an agent needs to know its own ... in Multiagent Resource Allocation. Computer, 30:3–31,. 2006. Chierichetti, F ...

Karma: Resource Allocation for Dynamic Demands

XChange [75] proposes a market-based approach to fair resource allocation in multi-core architectures but focuses on instantaneous fairness rather than long ...

Fair Multi-Resource Allocation with External Resource for Mobile ...

In MEC, in addition to these computing re- sources, the task input data and execution results are sent through a shared wireless communication link to and from.

A Fair Approach for Multi-Objective Water Resources Allocation

The proposed approach is proved effective for water resources management in the case study and demonstrates the potential for effective application in other ...