5 papers
D-Cliques: Compensating for Data Heterogeneity with Topology in Decentralized Federated Learning
Aurélien Bellet, Anne-Marie Kermarrec, Erick Lavoie
The convergence speed of machine learning models trained with Federated Learning is significantly affected by heterogeneous data partitions, even more so in a fully decentralized s…
Genet: A Quickly Scalable Fat-Tree Overlay for Personal Volunteer Computing using WebRTC
Erick Lavoie, Laurie Hendren, Fréderic Desprez +1
WebRTC enables browsers to exchange data directly but the number of possible concurrent connections to a single source is limited. We overcome the limitation by organizing particip…
Personal Volunteer Computing
Erick Lavoie, Laurie Hendren
We propose personal volunteer computing, a novel paradigm to encourage technical solutions that leverage personal devices, such as smartphones and laptops, for personal application…
Pando: Personal Volunteer Computing in Browsers
Erick Lavoie, Laurie Hendren, Frederic Desprez +1
The large penetration and continued growth in ownership of personal electronic devices represents a freely available and largely untapped source of computing power. To leverage tho…
A Formalization for Specifying and Implementing Correct Pull-Stream Modules
Erick Lavoie, Laurie Hendren
Pull-stream is a JavaScript demand-driven functional design pattern based on callback functions that enables the creation and easy composition of independent modules that are used…