2 papers
cs.LG2025
Mitigating Persistent Client Dropout in Asynchronous Decentralized Federated Learning
Ignacy StÄpka, Nicholas Gisolfi, Kacper TrÄbacz +1
We consider the problem of persistent client dropout in asynchronous Decentralized Federated Learning (DFL). Asynchronicity and decentralization obfuscate information about model u…
cs.AI2024
A SAT-based approach to rigorous verification of Bayesian networks
Ignacy StÄpka, Nicholas Gisolfi, Artur Dubrawski
Recent advancements in machine learning have accelerated its widespread adoption across various real-world applications. However, in safety-critical domains, the deployment of mach…