3 papers
cs.LG2025
On the Limits of Momentum in Decentralized and Federated Optimization
Riccardo Zaccone, Sai Praneeth Karimireddy, Carlo Masone
Recent works have explored the use of momentum in local methods to enhance distributed SGD. This is particularly appealing in Federated Learning (FL), where momentum intuitively ap…
cs.AI2024
Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation
Qitian Ma, Shyam Nanda Rai, Carlo Masone +1
In the domain of computer vision, semantic segmentation emerges as a fundamental application within machine learning, wherein individual pixels of an image are classified into dist…
cs.LG2023
Communication-Efficient Heterogeneous Federated Learning with Generalized Heavy-Ball Momentum
Riccardo Zaccone, Sai Praneeth Karimireddy, Carlo Masone +1
Federated Learning (FL) has emerged as the state-of-the-art approach for learning from decentralized data in privacy-constrained scenarios.However, system and statistical challenge…