139 citations · 851 across the 124 of their papers we have counts for
17 papers · 1 filter
Learning-Based Resource Management in Integrated Sensing and Communication Systems
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1
In this paper, we tackle the task of adaptive time allocation in integrated sensing and communication systems equipped with radar and communication units. The dual-functional radar…
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy
Feng Wang, M. Cenk Gursoy, Senem Velipasalar
In this paper, we propose feature-based federated transfer learning as a novel approach to improve communication efficiency by reducing the uplink payload by multiple orders of mag…
QMGeo: Differentially Private Federated Learning via Stochastic Quantization with Mixed Truncated Geometric Distribution
Zixi Wang, M. Cenk Gursoy
Federated learning (FL) is a framework which allows multiple users to jointly train a global machine learning (ML) model by transmitting only model updates under the coordination o…
Anomaly Detection via Learning-Based Sequential Controlled Sensing
Geethu Joseph, Chen Zhong, M. Cenk Gursoy +2
In this paper, we address the problem of detecting anomalies among a given set of binary processes via learning-based controlled sensing. Each process is parameterized by a binary…
Robust Network Slicing: Multi-Agent Policies, Adversarial Attacks, and Defensive Strategies
Feng Wang, M. Cenk Gursoy, Senem Velipasalar
In this paper, we present a multi-agent deep reinforcement learning (deep RL) framework for network slicing in a dynamic environment with multiple base stations and multiple users.…
Maximum Knowledge Orthogonality Reconstruction with Gradients in Federated Learning
Feng Wang, Senem Velipasalar, M. Cenk Gursoy
Federated learning (FL) aims at keeping client data local to preserve privacy. Instead of gathering the data itself, the server only collects aggregated gradient updates from clien…