AMFL:以人为中心的增强现实应用程序的资源效率高的自适应型基于metaverse的联合学习
概括
本研究介绍了使用联合学习 (FL) 的Metaverse增强现实 (AR) 应用程序的自适应算法. 这种新的方法提高了体验质量 (QoE) 并降低了成本,即使具有具有挑战性的非IID数据.
科学领域:
- 计算机科学 计算机科学
- 人工智能的人工智能
- 电信 电信服务 电信服务 电信服务
背景情况:
- 5G技术使沉浸式的Metaverse增强现实 (AR) 体验成为可能.
- 将联合学习 (FL) 与Metaverse AR (MAR) 系统集成,可以提供边缘情报服务.
- 非独立且相同分布的 (非IID) 数据和有限的资源挑战了MAR应用程序.
研究的目的:
- 为AR应用提出一种新的自适应性资源效率高的基于Metaverse的FL (AMFL) 算法.
- 减轻非IID数据的负面影响,降低资源成本.
- 提高MAR系统中的经验质量 (QoE).
主要方法:
- 分析无线通信因素 (CPU频率,带宽,传输功率) 对FL训练绩效的影响.
- 考虑非IID程度,模型准确性和资源消耗的QOE最大化问题的制定.
- 采用基于深度强化学习 (DRL) 的方法来进行适应性资源分配.
主要成果:
- 拟议的AMFL算法显著提高了高达30.28%的QOE.
- 通信回合和能源成本分别降低了高达81.08%和72.20%.
- 该算法即使在最糟糕的非IID数据条件下也能有效地执行.
结论:
- 在MAR系统中,AMFL有效地解决了非IID数据挑战.
- 该算法优化了资源分配,以提高 QoE 和降低成本.
- 这项工作为沉浸式AR应用程序推进了边缘情报服务.
相关概念视频
01:21Cognitive Learning
237
Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
237
01:12Observational Learning
163
Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
163
01:22Purposive Learning
114
E. C. Tolman emphasized the purposiveness of behavior — the idea that much of our behavior is goal-directed. For instance, employees who aim for a promotion work diligently to meet their targets. Tolman argued that when classical conditioning and operant conditioning occur, the organism acquires certain expectations. In classical conditioning, a child might fear a dog because they expect it to bite. In operant conditioning, a person might consistently work overtime because they expect a...
114