Smart Multi-tenant Federated Learning

by   Weiming Zhuang, et al.
SenseTime Corporation
Nanyang Technological University

Federated learning (FL) is an emerging distributed machine learning method that empowers in-situ model training on decentralized edge devices. However, multiple simultaneous training activities could overload resource-constrained devices. In this work, we propose a smart multi-tenant FL system, MuFL, to effectively coordinate and execute simultaneous training activities. We first formalize the problem of multi-tenant FL, define multi-tenant FL scenarios, and introduce a vanilla multi-tenant FL system that trains activities sequentially to form baselines. Then, we propose two approaches to optimize multi-tenant FL: 1) activity consolidation merges training activities into one activity with a multi-task architecture; 2) after training it for rounds, activity splitting divides it into groups by employing affinities among activities such that activities within a group have better synergy. Extensive experiments demonstrate that MuFL outperforms other methods while consuming 40 energy. We hope this work will inspire the community to further study and optimize multi-tenant FL.


MAS: Towards Resource-Efficient Federated Multiple-Task Learning

Federated learning (FL) is an emerging distributed machine learning meth...

Multi-Model Federated Learning with Provable Guarantees

Federated Learning (FL) is a variant of distributed learning where edge ...

Towards Fairer and More Efficient Federated Learning via Multidimensional Personalized Edge Models

Federated learning (FL) is an emerging technique that trains massive and...

FLAGS Framework for Comparative Analysis of Federated Learning Algorithms

Federated Learning (FL) has become a key choice for distributed machine ...

FedZero: Leveraging Renewable Excess Energy in Federated Learning

Federated Learning (FL) is an emerging machine learning technique that e...

Federated Learning with Additional Mechanisms on Clients to Reduce Communication Costs

Federated learning (FL) enables on-device training over distributed netw...

Please sign up or login with your details

Forgot password? Click here to reset