14 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Accelerating Fair Federated Learning: Adaptive Federated Adam
Li Ju, Tianru Zhang, Salman Toor +1
Federated learning is a distributed and privacy-preserving approach to train a statistical model collaboratively from decentralized data of different parties. However, when dataset…
cs.CR2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
Shenghui Li, Edith Ngai, Fanghua Ye +3
Federated learning (FL) facilitates distributed training across different IoT and edge devices, safeguarding the privacy of their data. The inherent distributed structure of FL int…
cs.DC2022★ 14 cited
Efficient Hierarchical Storage Management Framework Empowered by Reinforcement Learning
Tianru Zhang, Salman Toor, Andreas Hellander
With the rapid development of big data and cloud computing, data management has become increasingly challenging. Over the years, a number of frameworks for data management and stor…