2 citations · 2 across the 2 of their papers we have counts for
3 papers
Understanding Communication Backends in Cross-Silo Federated Learning
Amir Ziashahabi, Chaoyang He, Salman Avestimehr
Federated learning (FL) has emerged as a practical means for privacy-preserving distributed machine learning. FL's versatile design makes it suitable for various training settings,…
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation
Hamza Saleem, Amir Ziashahabi, Muhammad Naveed +1
Training machine learning models on data from multiple entities without direct data sharing can unlock applications otherwise hindered by business, legal, or ethical constraints. I…
Bias-Resistant Social News Aggregator Based on Blockchain
Amir Ziashahabi, Mohammad Ali Maddah-Ali, Abbas Heydarnoori
In today's world, social networks have become one of the primary sources for creation and propagation of news. Social news aggregators are one of the actors in this area in which u…