Zhi Zhou

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset

2023 · arXiv (Cornell University)

Federated Learning (FL) is a distributed learning paradigm that can coordinate heterogeneous edge devices to perform model training without sharing private data. While prior works have focused on analyzing FL convergence with respect to hyperparameters …

Microns: Connection Subsetting for Microservices in Shared Clusters

2025

Microservice applications typically employ a technique known as connection subsetting to ensure resource-efficient and stable communication with persistent connections. However, the interdependency in microservice applications and complex runtime environments pose significant challenges for effective connection …