31 citations · 104 across the 17 of their papers we have counts for
21 papers
Combining Homomorphic Encryption and Differential Privacy in Federated Learning for Model Inspection and Availability
Ceren Yıldırım, Kamer Kaya, Sinan Yıldırım +1
The increasing prevalence of decentralized data has led to a growing interest in federated learning, which enables collaborative model training without clients sharing their sensit…
Boosting Graph Embedding on a Single GPU
Amro Alabsi Aljundi, Taha Atahan Akyıldız, Kamer Kaya
Graphs are ubiquitous, and they can model unique characteristics and complex relations of real-life systems. Although using machine learning (ML) on graphs is promising, their raw…
ML with HE: Privacy Preserving Machine Learning Inferences for Genome Studies
Ş. S. Mağara, C. Yıldırım, F. Yaman +6
Preserving the privacy and security of big data in the context of cloud computing, while maintaining a certain level of efficiency of its processing remains to be a subject, open f…
A Bloom Filter Survey: Variants for Different Domain Applications
Anes Abdennebi, Kamer Kaya
There is a plethora of data structures, algorithms, and frameworks dealing with major data-stream problems like estimating the frequency of items, answering set membership, associa…
Fast and Error-Adaptive Influence Maximization based on Count-Distinct Sketches
Gokhan Gokturk, Kamer Kaya
Influence maximization (IM) is the problem of finding a seed vertex set that maximizes the expected number of vertices influenced under a given diffusion model. Due to the NP-Hardn…
Streaming Hypergraph Partitioning Algorithms on Limited Memory Environments
Fatih Taşyaran, Berkay Demireller, Kamer Kaya +1
Many well-known, real-world problems involve dynamic data which describe the relationship among the entities. Hypergraphs are powerful combinatorial structures that are frequently…