2025

December

Accelerating Geo-distributed Learning with Client Transfers

Go With The Flow: Churn-Tolerant Decentralized Training of Large Language Models

Asynchronous Byzantine Federated Learning

November

Dynamic Topology Optimization for Non-IID Data in Decentralized Learning

January

Reliable-Communication-in-Hybrid-Authentication-and-Trust-Models

2024

December

Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients

June

Training Diffusion Models with Federated Learning

2023

September

Parameterizing federated continual learning for reproducible research

2022

November

Aergia: leveraging heterogeneity in federated learning systems

July

Memory-aware and context-aware multi-DNN inference on the edge

2021

May

MemA: Fast Inference of Multiple Deep Models

April

Masa: Responsive multi-dnn inference on the edge

2020

March

Force processes to use swap in memory

2019

November

Minimizing idleness in Spark Clusters