1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
Provable Reduction in Communication Rounds for Non-Smooth Convex Federated Learning
Karlo Palenzuela, Ali Dadras, Alp Yurtsever +1
Multiple local steps are key to communication-efficient federated learning. However, theoretical guarantees for such algorithms, without data heterogeneity-bounding assumptions, ha…
cs.LG2024
Personalized Multi-tier Federated Learning
Sourasekhar Banerjee, Ali Dadras, Alp Yurtsever +1
The key challenge of personalized federated learning (PerFL) is to capture the statistical heterogeneity properties of data with inexpensive communications and gain customized perf…
stat.ME2024★ 1 cited
A Ridgelet Approach to Poisson Denoising
Ali Dadras, Klara Leffler, Jun Yu
This paper introduces a novel ridgelet transform-based method for Poisson image denoising. Our work focuses on harnessing the Poisson noise's unique non-additive and signal-depende…