FLeet

FLeet

Federated machine learning on Android

FLeet is a federated learning framework for Android that addresses the heterogeneity of mobile hardware by combining staleness-aware gradient aggregation with performance prediction. It selects and weights worker contributions based on predicted compute speed, reducing idle waiting and improving convergence speed and final model accuracy compared to synchronous federated learning baselines.

Federated LearningMobile App
Maturity
PrototypeIntermediateMature
Support
C4DT
Inactive
Lab
Unknown

Distributed Computing Lab

Distributed Computing Lab
Rachid Guerraoui

Prof. Rachid Guerraoui

The Distributed Computing Lab focuses currently on Scalable Implementations of Cryptocurrencies, Byzantine fault tolerance and privacy in distributed machine learning, distributed algorithms making use of RDMA and NVRAM.

This page was last edited on 2024-03-22.