114 citations · 115 across the 8 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024
Federated Communication-Efficient Multi-Objective Optimization
Baris Askin, Pranay Sharma, Gauri Joshi +1
We study a federated version of multi-objective optimization (MOO), where a single model is trained to optimize multiple objective functions. MOO has been extensively studied in th…
cs.LG2024★ 1 cited
FedAST: Federated Asynchronous Simultaneous Training
Baris Askin, Pranay Sharma, Carlee Joe-Wong +1
Federated Learning (FL) enables edge devices or clients to collaboratively train machine learning (ML) models without sharing their private data. Much of the existing work in FL fo…