76 citations · 76 across the 10 of their papers we have counts for
10 papers
Cluster-Aware Over-the-Air Federated Learning with Energy-Harvesting Devices: From Global Training to Model Personalization
Furkan Bagci, Busra Tegin, Mohammad Kazemi +1
Federated learning (FL) enables distributed optimization and learning across decentralized edge devices while preserving data privacy, but its performance is fundamentally constrai…
Learning-Enhanced Composite DNA Data Storage Under Sampling Randomness and IDS Errors
Busra Tegin, Tolga M Duman
DNA data storage offers a high-density, long-term alternative to conventional storage systems, addressing the exponential growth of digital data. Composite DNA extends this paradig…
On the Capacity of Insertion Channels for Small Insertion Probabilities
Busra Tegin, Tolga M Duman
Channels with synchronization errors, such as deletion and insertion errors, are crucial in DNA storage, data reconstruction, and other applications. These errors introduce memory…
Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
Furkan Bagci, Busra Tegin, Mohammad Kazemi +1
We study over-the-air (OTA) federated learning (FL) for energy harvesting devices with heterogeneous data distribution over wireless fading multiple access channel (MAC). To addres…
Over-the-Air Multi-Sensor Inference with Neural Networks Using Memristor-Based Analog Computing
Busra Tegin, Muhammad Atif Ali, Tolga M Duman
Deep neural networks provide reliable solutions for many classification and regression tasks; however, their application in real-time wireless systems with simple sensor networks i…
Capacity Approximations for Insertion Channels with Small Insertion Probabilities
Busra Tegin, Tolga M Duman
Channels with synchronization errors, exhibiting deletion and insertion errors, find practical applications in DNA storage, data reconstruction, and various other domains. Presence…
Towards Goal-Oriented Semantic Signal Processing: Applications and Future Challenges
Mert Kalfa, Mehmetcan Gok, Arda Atalik +3
Advances in machine learning technology have enabled real-time extraction of semantic information in signals which can revolutionize signal processing techniques and improve their…
Straggler Mitigation through Unequal Error Protection for Distributed Approximate Matrix Multiplication
Busra Tegin, Eduin. E. Hernandez, Stefano Rini +1
Large-scale machine learning and data mining methods routinely distribute computations across multiple agents to parallelize processing. The time required for the computations at t…
Straggler Mitigation through Unequal Error Protection for Distributed Matrix Multiplication
Busra Tegin, Eduin E. Hernandez, Stefano Rini +1
Large-scale machine learning and data mining methods routinely distribute computations across multiple agents to parallelize processing. The time required for computation at the ag…
Blind Federated Learning at the Wireless Edge with Low-Resolution ADC and DAC
Busra Tegin, Tolga M. Duman
We study collaborative machine learning systems where a massive dataset is distributed across independent workers which compute their local gradient estimates based on their own da…