Ghadir Ayache
PhD Student
Distributed Machine Learning
PhD Student
Distributed Machine Learning
I was a Research Scientist Intern at Etsy. June - October 2021.
PhD candidate at the ECE department of Rutgers University .
Working at the CSI lab with Salim El Rouayheb.
PhD research visitor at TU Berlin in Germany in summer 2018.
Received my master's degree in Advanced Wireless Communications Systems from CentraleSupelec in Paris, France in 2017.
Received my BE in Electrical and Computer Engineering from the Lebanese University in Lebanon in 2016.
G. Ayache, V. Dasari and S. El Rouayheb:Walk for Learning: A Random Walk Approach for Federated Learning from Heterogeneous Data.Submitted.
G. Ayache and S. El Rouayheb: Private Weighted Random Walk Stochastic Gradient Descent. IEEE Journal on Selected Areas in Information Theory 2021.
G. Ayache and S. El Rouayheb: Random Walk Gradient Descent for Decentralized Learning on Graphs. IPDPSW2019.
W. Li, M. Assaad, G. Ayache and M. Larranaga: Matrix Exponential Learning for Resource Allocation with Low Informational Exchange. SPWAC2018.
Decentralized Learning via Random Walk. NASIT2019.
Lecturer Spring 2021 at Rutgers University: ECE573 - Data Structures and Algorithms. Graduate Course.
TA Spring 2020 at Rutgers University: ECE573 - Data Structures and Algorithms. Graduate Course.
TA Fall 2019 at Rutgers University: ECE541 - Stochastic Signals and Systems. Graduate Course.
TA Fall 2017 at Rutgers University: ECE233 - Digital Logic Design Laboratory. Undergraduate Course.