4 citations · 9 across the 7 of their papers we have counts for
11 papers
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation
Yixiang Yao, Tanmay Ghai, Srivatsan Ravi +1
Entity resolution is the task of identifying records in different datasets that refer to the same entity in the real world. In sensitive domains (e.g. financial accounts, hospital…
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
Dimitris Stripelis, Hamza Saleem, Tanmay Ghai +8
Federated learning (FL) enables distributed computation of machine learning models over various disparate, remote data sources, without requiring to transfer any individual data to…
Separation and Equivalence results for the Crash-stop and Crash-recovery Shared Memory Models
Ohad Ben-Baruch, Srivatsan Ravi
Linearizability, the traditional correctness condition for concurrent data structures is considered insufficient for the non-volatile shared memory model where processes recover fo…
Programming Scalable Cloud Services with AEON
Bo Sang, Gustavo Petri, Masoud Saeida Ardekani +2
Designing low-latency cloud-based applications that are adaptable to unpredictable workloads and efficiently utilize modern cloud computing platforms is hard. The actor model is a…
Concurrency and Privacy with Payment-Channel Networks
Giulio Malavolta, Pedro Moreno-Sanchez, Aniket Kate +2
Permissionless blockchains protocols such as Bitcoin are inherently limited in transaction throughput and latency. Current efforts to address this key issue focus on off-chain paym…
On the Cost of Concurrency in Hybrid Transactional Memory
Trevor Brown, Srivatsan Ravi
State-of-the-art \emph{software transactional memory (STM)} implementations achieve good performance by carefully avoiding the overhead of \emph{incremental validation} (i.e., re-r…