48 citations · 83 across the 19 of their papers we have counts for
4 papers · 1 filter
Collaborative Learning over Wireless Networks: An Introductory Overview
Emre Ozfatura, Deniz Gunduz, H. Vincent Poor
In this chapter, we will mainly focus on collaborative training across wireless devices. Training a ML model is equivalent to solving an optimization problem, and many distributed…
Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks
Emre Ozfatura, Muhammad Zaid Hameed, Kerem Ozfatura +1
A common observation regarding adversarial attacks is that they mostly give rise to false activation at the penultimate layer to fool the classifier. Assuming that these activation…
Gradient Coding with Dynamic Clustering for Straggler-Tolerant Distributed Learning
Baturalp Buyukates, Emre Ozfatura, Sennur Ulukus +1
Distributed implementations are crucial in speeding up large scale machine learning applications. Distributed gradient descent (GD) is widely employed to parallelize the learning t…
Time-Correlated Sparsification for Communication-Efficient Federated Learning
Emre Ozfatura, Kerem Ozfatura, Deniz Gunduz
Federated learning (FL) enables multiple clients to collaboratively train a shared model without disclosing their local datasets. This is achieved by exchanging local model updates…