General-Purpose vs. Specialized Data Analytics Systems: A Game of ML & SQL Thrones. - Evdokia Kassela; Nikodimos Provatas; Ioannis Konstantinou; Avrilia Floratou; Nectarios Koziris (IEEE BigData, 2019)

BigOptiBase: Big Data Analytics for Base Station Energy Consumption Optimization. - Evdokia Kassela; Nikodimos Provatas; Asterios Tsiourvas; Ioannis Konstantinou; Nectarios Koziris (IEEE BigData, 2019)

Towards Faster Distributed Deep Learning Using Data Hashing Techniques. - Nikodimos Provatas; Ioannis Konstantinou; Nectarios Koziris (IEEE BigData, 2019)

SELIS BDA: Big Data Analytics for the Logistics Domain. - Nikodimos Provatas; Evdokia Kassela; Nikolaos Chalvantzis; Anastasios Bakogiannis; Ioannis Giannakopoulos; Nectarios Koziris; Ioannis Konstantinou (IEEE BigData, 2020)

A Performance Evaluation of Distributed Deep Learning Frameworks on CPU Clusters Using Image Classification Workloads. - Andreas Krisilias; Nikodimos Provatas; Nectarios Koziris; Ioannis Konstantinou (IEEE BigData, 2021)

Is Systematic Data Sharding able to Stabilize Asynchronous Parameter Server Training? - Nikodimos Provatas; Ioannis Konstantinou; Nectarios Koziris (IEEE BigData, 2021)

Exploiting Data Distribution in Distributed Learning of Deep Classification Models under the Parameter Server Architecture. - Nikodimos Provatas (PhD@VLDB, 2021)

IW-NET BDA: A Big Data Infrastructure for Predictive and Geotemporal Analytics of Inland Waterways. - Nikolaos Chalvantzis; Aristotelis Vontzalidis; Evdokia Kassela; Aris Spyrou; Nikolaos Nikitas; Nikodimos Provatas; Ioannis Konstantinou; Nectarios Koziris (IEEE Access, 2024)

Strategy-Switch: From All-Reduce to Parameter Server for Faster Efficient Training. - Nikodimos Provatas; Iasonas Chalas; Ioannis Konstantinou; Nectarios Koziris (IEEE Access, 2025)

A Survey on Parameter Server Architecture: Approaches for Optimizing Distributed Centralized Learning. - Nikodimos Provatas; Ioannis Konstantinou; Nectarios Koziris (IEEE Access, 2025)