2 papers
cs.LG2024
FLUE: Federated Learning with Un-Encrypted model weights
Elie Atallah
Federated Learning enables diverse devices to collaboratively train a shared model while keeping training data locally stored, avoiding the need for centralized cloud storage. Desp…
math.OC2020
Straggler-Robust Distributed Optimization with the Parameter Server Utilizing Coded Gradient
Elie Atallah, Nazanin Rahnavard, Chinwendu Enyioha
Optimization in distributed networks plays a central role in almost all distributed machine learning problems. In principle, the use of distributed task allocation has reduced the…