FedKit: Enabling Cross-Platform Federated Learning for Android and iOS

2024-02-16 · Sichang He, Beilong Tang, Boyan Zhang, Jiaoqi Shao, Xiaomin Ouyang, Daniel Nata Nugraha, Bing Luo

We present FedKit, a federated learning (FL) system tailored for cross-platform FL research on Android and iOS devices. FedKit pipelines cross-platform FL development by enabling model conversion, hardware-accelerated training, and cross-platform model aggregation. Our FL workflow supports flexible machine learning operations (MLOps) in production, facilitating continuous model delivery and training. We have deployed FedKit in a real-world use case for health data analysis on university campuses, demonstrating its effectiveness. FedKit is open-source at https://github.com/FedCampus/FedKit.

📄 PDF Abstract BibTeX arXiv:2402.10464

Code (1)

fedcampus/fedkit 공식 구현 tf

Tasks

Federated Learning

AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

2024-05-23 · Christopher Rawles, Sarah Clinckemaillie, Yifan Chang, Jonathan Waltz 외

Autonomous agents that execute human tasks by controlling computers can enhance human productivity and application accessibility. However, progress in this field will be driven by realistic and reproducible benchmarks. W…

Benchmarking

Demo: FedCampus: A Real-world Privacy-preserving Mobile Application for Smart Campus via Federated Learning & Analytics

2024-08-31 · Jiaxiang Geng, Beilong Tang, Boyan Zhang, Jiaqi Shao 외

In this demo, we introduce FedCampus, a privacy-preserving mobile application for smart \underline{campus} with \underline{fed}erated learning (FL) and federated analytics (FA). FedCampus enables cross-platform on-device…

Federated Learning Privacy Preserving

AndroidEnv: A Reinforcement Learning Platform for Android

2021-05-27 · Daniel Toyama, Philippe Hamel, Anita Gergely, Gheorghe Comanici 외

We introduce AndroidEnv, an open-source platform for Reinforcement Learning (RL) research built on top of the Android ecosystem. AndroidEnv allows RL agents to interact with a wide variety of apps and services commonly u…

reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

A Dynamic Weighted Federated Learning for Android Malware Classification

2022-11-23 · Ayushi Chaudhuri, Arijit Nandi, Buddhadeb Pradhan

Android malware attacks are increasing daily at a tremendous volume, making Android users more vulnerable to cyber-attacks. Researchers have developed many machine learning (ML)/ deep learning (DL) techniques to detect a…

Classification Federated Learning Malware Classification

GUILeak: Tracing Privacy Policy Claims on User Input Data for Android Applications

2018-05-01 · Xiaoyin Wang，Mitra Bokaei Hosseini，Xue Qin，Rocky Slavin

The Android mobile platform supports billions of devices across more than 190 countries around the world. This popularity coupled with user data collection by Android apps has made privacy protection a well-known challen…