Rawad Bitar — accepted AI-conference papers

2025

Bi-Directional Communication-Efficient Stochastic FL via Remote Source Generation

Maximilian Egger, Rawad Bitar, Antonia Wachter-Zeh, Nir Weinberger, Deniz Gunduz

NeurIPS 2025poster

Federated Learning (FL) incurs high communication costs in both uplink and downlink. The literature largely focuses on lossy compression of model updates in deterministic FL. In contrast, stochastic (Bayesian) FL considers distributions over parameters, enabling uncertainty quantification, better ge…

Cited by 0 Source ↗Scholar ↗

2020

Adaptive Distributed Stochastic Gradient Descent for Minimizing Delay in the Presence of Stragglers

Serge Kas Hanna, Rawad Bitar, Parimal Parag, Venkat Dasari, Salim El Rouayheb

ICASSP 2020accepted

We consider the setting where a master wants to run a distributed stochastic gradient descent (SGD) algorithm on n workers each having a subset of the data. Distributed SGD may suffer from the effect of stragglers, i.e., slow or unresponsive workers who cause delays. One solution studied in the lite…

Cited by 18 Source ↗Scholar ↗