5 papers
Improving the Robustness of the XRP Ledger Network via Edge Augmentation Strategies
Afonso Vilalonga, Orkun İrsoy, João S. Resende +2
The XRP Ledger allows its network participants to select a set of trusted peers within the network (i.e., the Unique Node List (UNL)) and communicate with them to reach consensus o…
TANGCO: Learning Topology-Aware Capacity Allocation for Overload-driven Cascading Failures
Orkun Irsoy, Leman Akoglu, Osman Yagan
Networked systems, from power grids to traffic networks and cloud clusters, carry loads across nodes with limited capacity. A node whose load exceeds its capacity fails and sheds i…
Overload-Based Cascades in Multiplex Flow Networks with Partial Functionality
Orkun İrsoy, Osman Yağan
Cascading failures driven by load or flow redistribution arise in networked systems such as power grids, supply chains, and cloud computing centers. Most flow-network models assume…
Pairwise Elimination with Instance-Dependent Guarantees for Bandits with Cost Subsidy
Ishank Juneja, Carlee Joe-Wong, Osman Yağan
Multi-armed bandits (MAB) are commonly used in sequential online decision-making when the reward of each decision is an unknown random variable. In practice however, the typical go…
FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning
I-Cheng Lin, Osman Yagan, Carlee Joe-Wong
Federated learning has recently gained popularity as a framework for distributed clients to collaboratively train a machine learning model using local data. While traditional feder…