Published 'Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference' at USENIX ATC 2025
Published 'Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning' at USENIX Security 2024
Published two papers at EuroSys 2024: 'Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy' and 'Noctua: Towards Automated and Practical Fine-grained Consistency Analysis'
Published 'Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing' at NSDI 2023
Published 'Citadel: Protecting Data Privacy and Model Confidentiality for Collaborative Learning' at SoCC 2021
Published 'Gradient Compression Supercharged High-Performance Data Parallel DNN Training' at SOSP 2021
Published 'Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning' at ICDCS 2021, received Best Paper Runner-Up award
Published survey article 'Will Serverless Computing Revolutionize NFV?' in Proceedings of the IEEE (2019)
Published 'ApproxJoin: Approximate Distributed Joins' at SoCC 2018
Published 'SAND: Towards High-Performance Serverless Computing' at USENIX ATC 2018; its implementation, the KNIX serverless platform, is listed on the CNCF Serverless Landscape
Published research on reliable cloud deployment (CoNEXT 2017) and stream approximate computing (Middleware 2017)