A survey of performance optimization for mobile applications
To ensure user satisfaction and success of mobile applications, it is important to provide
highly performant applications. This is particularly important for resource-constrained …
highly performant applications. This is particularly important for resource-constrained …
Federated fine-tuning of billion-sized language models across mobile devices
Large Language Models (LLMs) are transforming the landscape of mobile intelligence.
Federated Learning (FL), a method to preserve user data privacy, is often employed in fine …
Federated Learning (FL), a method to preserve user data privacy, is often employed in fine …
Fwdllm: Efficient federated finetuning of large language models with perturbed inferences
Large Language Models (LLMs) are transforming the landscape of mobile intelligence.
Federated Learning (FL), a method to preserve user data privacy, is often employed in fine …
Federated Learning (FL), a method to preserve user data privacy, is often employed in fine …
{FwdLLM}: Efficient Federated Finetuning of Large Language Models with Perturbed Inferences
Large Language Models (LLMs) are transforming the landscape of mobile intelligence.
Federated Learning (FL), a method to preserve user data privacy, is often employed in fine …
Federated Learning (FL), a method to preserve user data privacy, is often employed in fine …
SWAM: Revisiting Swap and OOMK for Improving Application Responsiveness on Mobile Devices
Existing memory reclamation policies on mobile devices may be no longer valid because
they have negative effects on the response time of running applications. In this paper, we …
they have negative effects on the response time of running applications. In this paper, we …
Boosting Cache Performance by Access Time Measurements
G Einziger, O Himelbrand, E Waisbard - ACM Transactions on Storage, 2023 - dl.acm.org
Most modern systems utilize caches to reduce the average data access time and optimize
their performance. Recently proposed policies implicitly assume uniform access times, but …
their performance. Recently proposed policies implicitly assume uniform access times, but …
NAP: Natural app processing for predictive user contexts in mobile smartphones
The resource management of an application is an essential task in smartphones. Optimizing
the application launch process results in a faster and more efficient system, directly …
the application launch process results in a faster and more efficient system, directly …
[PDF][PDF] Context aware mobile application pre-launching model using KNN classifier.
M Alagarsamy, AS Sathik - Int. Arab J. Inf. Technol., 2022 - ccis2k.org
Mobile applications are the application software which can be executed in mobile devices.
The Performance of the mobile application is major factor to be considered while developing …
The Performance of the mobile application is major factor to be considered while developing …
Memory Management on Mobile Devices
The performance of mobile devices directly affects billions of people worldwide. Yet, despite
memory management being key to their responsiveness, energy efficiency, and cost, mobile …
memory management being key to their responsiveness, energy efficiency, and cost, mobile …
Improving application launch performance in smartphones using recurrent neural network
ALN Martins, CAV Duarte, J Jeong - Proceedings of the 2018 …, 2018 - dl.acm.org
Mobile phones became indispensable tools in our lives, with Android being the most used
mobile OS. These devices depend on managing application lifecycles to improve launch …
mobile OS. These devices depend on managing application lifecycles to improve launch …