4 papers
Quantizing data for distributed learning
Osama A. Hanna, Yahya H. Ezzeldin, Christina Fragouli +1
We consider machine learning applications that train a model by leveraging data distributed over a trusted network, where communication constraints can create a performance bottlen…
On Distributed Quantization for Classification
Osama A. Hanna, Yahya H. Ezzeldin, Tara Sadjadpour +2
We consider the problem of distributed feature quantization, where the goal is to enable a pretrained classifier at a central node to carry out its classification on features that…
Random Access Schemes in Wireless Systems With Correlated User Activity
Anders Ellersgaard Kalør, Osama A. Hanna, Petar Popovski
Traditional random access schemes are designed based on the aggregate process of user activation, which is created on the basis of independent activations of the users. However, in…
Degrees of Freedom in Cached MIMO Relay Networks With Multiple Base Stations
Osama A. Hanna, Amr El-Keyi, Mohammed Nafie
The ability of physical layer relay caching to increase the degrees of freedom (DoF) of a single cell was recently illustrated. In this paper, we extend this result to the case of…