3 papers
math.OC2026
Robust stochastic first order methods in heavy-tailed noise via medoid mini-batch gradient sampling
Manojlo Vukovic, Dusan Jakovetic
We consider a first order stochastic optimization framework where, at each iteration, independent identically distributed (i.i.d.) data point samples are drawn, based on which…
cs.LG2026
Robust Federated Learning under Adversarial Attacks via Loss-Based Client Clustering
Emmanouil Kritharakis, Dusan Jakovetic, Antonios Makris +1
Federated Learning (FL) enables collaborative model training across multiple clients without sharing private data. We consider FL scenarios wherein FL clients are subject to advers…
cs.LG2025
FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning
Emmanouil Kritharakis, Antonios Makris, Dusan Jakovetic +1
Federated Learning (FL) enables collaborative model training across multiple clients while preserving data privacy by keeping local datasets on-device. In this work, we address FL…