2 citations · 2 across the 8 of their papers we have counts for
13 papers
Efficient and Privacy-Preserving Binary Dot Product via Multi-Party Computation
Fatemeh Jafarian Dehkordi, Elahe Vedadi, Alireza Feizbakhsh +2
Striking a balance between protecting data privacy and enabling collaborative computation is a critical challenge for distributed machine learning. While privacy-preserving techniq…
Privacy-Preserving Hierarchical Model-Distributed Inference
Fatemeh Jafarian Dehkordi, Yasaman Keshtkarjahromi, Hulya Seferoglu
This paper focuses on designing a privacy-preserving Machine Learning (ML) inference protocol for a hierarchical setup, where clients own/generate data, model owners (cloud servers…
Efficient Coded Multi-Party Computation at Edge Networks
Elahe Vedadi, Yasaman Keshtkarjahromi, Hulya Seferoglu
Multi-party computation (MPC) is promising for designing privacy-preserving machine learning algorithms at edge networks. An emerging approach is coded-MPC (CMPC), which advocates…
Adaptive Gap Entangled Polynomial Coding for Multi-Party Computation at the Edge
Elahe Vedadi, Yasaman Keshtkarjahromi, Hulya Seferoglu
Multi-party computation (MPC) is promising for designing privacy-preserving machine learning algorithms at edge networks. An emerging approach is coded-MPC (CMPC), which advocates…
PolyDot Coded Privacy Preserving Multi-Party Computation at the Edge
Elahe Vedadi, Yasaman Keshtkarjahromi, Hulya Seferoglu
We investigate the problem of privacy preserving distributed matrix multiplication in edge networks using multi-party computation (MPC). Coded multi-party computation (CMPC) is an…
Robust and Computationally-Efficient Anomaly Detection using Powers-of-Two Networks
Usama Muneeb, Erdem Koyuncu, Yasaman Keshtkarjahromi +3
Robust and computationally efficient anomaly detection in videos is a problem in video surveillance systems. We propose a technique to increase robustness and reduce computational…
Private and Rateless Adaptive Coded Matrix-Vector Multiplication
Rawad Bitar, Yuxuan Xing, Yasaman Keshtkarjahromi +3
Edge computing is emerging as a new paradigm to allow processing data near the edge of the network, where the data is typically generated and collected. This enables critical compu…
Secure Coded Cooperative Computation at the Heterogeneous Edge against Byzantine Attacks
Yasaman Keshtkarjahromi, Rawad Bitar, Venkat Dasari +2
Edge computing is emerging as a new paradigm to allow processing data at the edge of the network, where data is typically generated and collected, by exploiting multiple devices at…
Dynamic Heterogeneity-Aware Coded Cooperative Computation at the Edge
Yasaman Keshtkarjahromi, Yuxuan Xing, Hulya Seferoglu
Cooperative computation is a promising approach for localized data processing at the edge, e.g. for Internet of Things (IoT). Cooperative computation advocates that computationally…
Device-to-Device Networking Meets Cellular via Network Coding
Yasaman Keshtkarjahromi, Hulya Seferoglu, Rashid Ansari +1
Utilizing device-to-device (D2D) connections among mobile devices is promising to meet the increasing throughput demand over cellular links. In particular, when mobile devices are…
Network Coding for Cooperative Mobile Devices with Multiple Interfaces
Yasaman Keshtkarjahromi, Hulya Seferoglu, Rashid Ansari +1
Cooperation among mobile devices and utilizing multiple interfaces such as cellular and local area links simultaneously are promising to meet the increasing throughput demand over…
Content-Aware Network Coding over Device-to-Device Networks
Yasaman Keshtkarjahromi, Hulya Seferoglu, Rashid Ansari +1
Consider a scenario of broadcasting a common content to a group of cooperating mobile devices that are within proximity of each other. Devices in this group may receive partial con…
Energy Efficient Decentralized Detection Based on Bit-optimal Multi-hop Transmission in One-dimensional Wireless Sensor Networks
Yasaman Keshtkarjahromi, Rashid Ansari, Ashfaq Khokhar
Existing information theoretic work in decentralized detection is largely focused on parallel configuration of Wireless Sensor Networks (WSNs), where an individual hard or soft dec…