Search Results for author: Cemil Vahapoglu

Found 3 papers, 0 papers with code

Deep Learning Based Uplink Multi-User SIMO Beamforming Design

no code implementations28 Sep 2023 Cemil Vahapoglu, Timothy J. O'Shea, Tamoghna Roy, Sennur Ulukus

The advancement of fifth generation (5G) wireless communication networks has created a greater demand for wireless resource management solutions that offer high data rates, extensive coverage, minimal latency and energy-efficient performance.

Management

Hierarchical Over-the-Air FedGradNorm

no code implementations14 Dec 2022 Cemil Vahapoglu, Matin Mortaheb, Sennur Ulukus

MTL can be integrated into a federated learning (FL) setting if tasks are distributed across clients and clients have a single shared network, leading to personalized federated learning (PFL).

Multi-Task Learning Personalized Federated Learning

FedGradNorm: Personalized Federated Gradient-Normalized Multi-Task Learning

no code implementations24 Mar 2022 Matin Mortaheb, Cemil Vahapoglu, Sennur Ulukus

In federated settings, the statistical heterogeneity due to different task complexities and data heterogeneity due to non-iid nature of local datasets can both degrade the learning performance of the system.

Multi-Task Learning Personalized Federated Learning

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