13 citations · 16 across the 5 of their papers we have counts for
6 papers
FedBWO: Enhancing Communication Efficiency in Federated Learning
Vahideh Hayyolalam, Öznur Özkasap
Federated Learning (FL) is a distributed Machine Learning (ML) setup, where a shared model is collaboratively trained by various clients using their local datasets while keeping th…
DiabML: AI-assisted diabetes diagnosis method with meta-heuristic-based feature selection
Vahideh Hayyolalam, Öznur Özkasap
Diabetes is a chronic disorder identified by the high sugar level in the blood that can cause various different disorders such as kidney failure, heart attack, sightlessness, and s…
ANKA: A Decentralized Blockchain-based Energy Marketplace for Battery-powered Devices
Burak Can Sahin, Abdulrezzak Zekiye, Oznur Ozkasap
For the purpose of enabling, democratizing, and reducing the fees of peer-to-peer energy trading for battery-powered devices, we propose ANKA as a fully decentralized energy market…
Demo -- Zelig: Customizable Blockchain Simulator
Ege Erdogan, Can Arda Aydin, Oznur Ozkasap +1
As blockchain-based systems see wider adoption, it becomes increasingly critical to ensure their reliability, security, and efficiency. Running simulations is an effective method o…
Cyberphysical Blockchain-Enabled Peer-to-Peer Energy Trading
Faizan Ali, Moayad Aloqaily, Omar Alfandi +1
Scalability and security problems of the centralized architecture models in cyberphysical systems have great potential to be solved by novel blockchain based distributed models.A d…
MER-SDN: Machine Learning Framework for Traffic Aware Energy Efficient Routing in SDN
Beakal Gizachew Assefa, Oznur Ozkasap
Software Defined Networking (SDN) achieves programmability of a network through separation of the control and data planes. It enables flexibility in network management and control.…