MLSys

2024

• LIFL: A Lightweight, Event-driven Serverless Platform for Federated Learning Federated Learning.

• FedTrans: Efficient Federated Learning via Multi-Model Transformation Federated Learning.

• HeteroSwitch: Characterizing and Taming System-Induced Data Heterogeneity in Federated Learning Federated Learning.

2023

• FedTree: A Federated Learning System For Trees.

• GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.

• FLINT: A Platform for Federated Learning Integration.

• On Noisy Evaluation in Federated Hyperparameter Tuning.

2022

• LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.

• PAPAYA: Practical, Private, and Scalable Federated Learning.