Skip to content
conftrace_
2021 AAAI AAAI 2021

A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)

Abstract

Abstract The paper proposes a Serverless and Mobile relay based architecture for a highly scalable Federated Learning system for low power IoT and Edge Devices. The aim is an easily deployable infrastructure on a public cloud platform by the end user and democratize the use of federated learning.

Authors

Anshul Ahuja, Geetesh Gupta, Suman Kundu

Topics

Artificial Intelligence > Learning Paradigms > Federated Learning Machine Learning > Optimization & Theory > Distributed Learning Machine Learning > Learning Paradigms > Federated Learning Deep Learning > Learning Types > Federated Learning

Keywords

federated learning distributed learning edge computing serverless architecture iot device iot edge computing mobile relay scalable infrastructure
Download PDF

More from AAAI 2021

All AAAI 2021 papers →
Distributed Situation Awareness for Multi-agent Mission in Dynamic Environments: A Case Study of Multi-UAVs Wildfires Searching
How Human Centered AI Will Contribute Towards Intelligent Gaming Systems
Role of Optimizer on Network Fine-tuning for Adversarial Robustness (Student Abstract)
Reward based Hebbian Learning in Direct Feedback Alignment (Student Abstract)
Clustering Partial Lexicographic Preference Trees (Student Abstract)
Logic Guided Genetic Algorithms (Student Abstract)