Privacy-preserving fog computing paradigm. - Nabil Abubaker; Leonard Dervishi; Erman Ayday (CNS, 2017)

Spatiotemporal Graph and Hypergraph Partitioning Models for Sparse Matrix-Vector Multiplication on Many-Core Architectures. - Nabil Abubaker; Kadir Akbudak; Cevdet Aykanat (IEEE Trans. Parallel Distributed Syst., 2019)

True Load Balancing for Matricized Tensor Times Khatri-Rao Product. - Nabil Abubaker; Seher Acer; Cevdet Aykanat (IEEE Trans. Parallel Distributed Syst., 2021)

Scalable Unsupervised ML: Latency Hiding in Distributed Sparse Tensor Decomposition. - Nabil Abubaker; M. Ozan Karsavuran; Cevdet Aykanat (IEEE Trans. Parallel Distributed Syst., 2022)

Novel algorithms and models for scaling parallel sparse tensor and matrix factorizations (Paralel seyrek tensör ve matris ayrışımı için yeni yöntem ve modeller) - Nabil Abubaker (2022)

Minimizing Staleness and Communication Overhead in Distributed SGD for Collaborative Filtering. - Nabil Abubaker; Orhun Caglayan; M. Ozan Karsavuran; Cevdet Aykanat (IEEE Trans. Computers, 2023)

Scaling Stratified Stochastic Gradient Descent for Distributed Matrix Completion. - Nabil Abubaker; M. Ozan Karsavuran; Cevdet Aykanat (IEEE Trans. Knowl. Data Eng., 2023)

Arrow Matrix Decomposition: A Novel Approach for Communication-Efficient Sparse Matrix Multiplication. - Lukas Gianinazzi; Alexandros Nikolaos Ziogas; Langwen Huang; Piotr Luczynski; Saleh Ashkboosh; Florian Scheidl; Armon Carigiet; Chio Ge; Nabil Abubaker; Maciej Besta; Tal Ben-Nun; Torsten Hoefler (PPoPP, 2024)

SpComm3D: A Framework for Enabling Sparse Communication in 3D Sparse Kernels. - Nabil Abubaker; Torsten Hoefler (CoRR, 2024)