Artifact: Masa: Responsive Multi-DNN Inference on the Edge. - Bart Cox; Jeroen Galjaard; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (PerCom Workshops, 2021)

Masa: Responsive Multi-DNN Inference on the Edge. - Bart Cox; Jeroen Galjaard; Amirmasoud Ghiassi; Robert Birke; Lydia Y. Chen (PerCom, 2021)

MemA: Fast Inference of Multiple Deep Models. - Jeroen Galjaard; Bart Cox; Amirmasoud Ghiassi; Lydia Y. Chen; Robert Birke (PerCom Workshops, 2021)

Aergia: leveraging heterogeneity in federated learning systems. - Bart Cox; Lydia Y. Chen; Jérémie Decouchant (Middleware, 2022)

Memory-aware and context-aware multi-DNN inference on the edge. - Bart Cox; Robert Birke; Lydia Y. Chen (Pervasive Mob. Comput., 2022)

Parameterizing Federated Continual Learning for Reproducible Research. - Bart Cox; Jeroen Galjaard; Aditya Shankar; Jérémie Decouchant; Lydia Y. Chen (PKDD/ECML Workshops (5), 2023)

Spyker: Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. - Yuncong Zuo; Bart Cox; Lydia Y. Chen; Jérémie Decouchant (Middleware, 2024)

Reliable Communication in Hybrid Authentication and Trust Models. - Rowdy Chotkan; Bart Cox; Vincent Rahli; Jérémie Decouchant (OPODIS, 2024)

Asynchronous Byzantine Federated Learning. - Bart Cox; Abele Malan; Lydia Y. Chen; Jérémie Decouchant (CoRR, 2024)

Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients. - Yuncong Zuo; Bart Cox; Lydia Y. Chen; Jérémie Decouchant (CoRR, 2024)

Training Diffusion Models with Federated Learning. - Matthijs de Goede; Bart Cox; Jérémie Decouchant (CoRR, 2024)