3 citations · 7 across the 6 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.LG2024★ 1 cited
Single Point-Based Distributed Zeroth-Order Optimization with a Non-Convex Stochastic Objective Function
Elissa Mhanna, Mohamad Assaad
Zero-order (ZO) optimization is a powerful tool for dealing with realistic constraints. On the other hand, the gradient-tracking (GT) technique proved to be an efficient method for…
cs.LG2024
Rendering Wireless Environments Useful for Gradient Estimators: A Zero-Order Stochastic Federated Learning Method
Elissa Mhanna, Mohamad Assaad
Cross-device federated learning (FL) is a growing machine learning setting whereby multiple edge devices collaborate to train a model without disclosing their raw data. With the gr…