Emmanouil Kritharakis

According to our database, Emmanouil Kritharakis authored at least 7 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Comparative Study of Federated Learning Aggregation Strategies under Homogeneous and Heterogeneous Data Distributions.

Antonios Makris, Christos Dousis, Emmanouil Kritharakis, Stavros Bouras, Konstantinos Tserpes

CoRR, May, 2026

2025

FedGreed: A Byzantine-Robust Loss-Based Aggregation Method for Federated Learning.

Emmanouil Kritharakis, Antonios Makris, Dusan Jakovetic, Konstantinos Tserpes

CoRR, August, 2025

Robust Federated Learning Under Adversarial Attacks via Loss-Based Client Clustering.

Emmanouil Kritharakis, Dusan Jakovetic, Antonios Makris, Konstantinos Tserpes

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

CoEvolution: A Comprehensive Trustworthy Framework For Connected Machine Learning And Secure Interconnected AI Solutions.

Antonios Makris, Apostolos P. Fournaris, Anita Aghaie, Ioannis Arakas, Anna Maria Anaxagorou, Ioannis Arapakis, Davide Bacciu, Battista Biggio, Georgios Bouloukakis, Stavros Bouras, Arne Bröring, Antonio Carta, Marco Caselli, Olympia Giannakopoulou, Nikolaos Gkatzios, Alexandros Gkillas, Evangelos Haleplidis, Sotiris Ioannidis, Eleni-Maria Kalogeraki, Panagiotis Karantzias, Emmanouil Kritharakis, Aris S. Lalos, David Lenk, Stella Markopoulou, Entrit Metai, Andreas Miaoudakis, Haralambos Mouratidis, Jihane Najar, Theodor Panagiotakopoulos, Bernhard Peischl, Maura Pintor, Nikos Piperigkos, Vassilis Prevelakis, Carlos Segura, Georgios Spanoudakis, Orestis Tsirakis, Omar Veledar, Konstantinos Tserpes

Proceedings of the IEEE International Conference on Cyber Security and Resilience, 2025

2024

Crayfish: Navigating the Labyrinth of Machine Learning Inference in Stream Processing Systems.

Sonia Horchidan, Po Hao Chen, Emmanouil Kritharakis, Paris Carbone, Vasiliki Kalavri

Proceedings of the Proceedings 27th International Conference on Extending Database Technology, 2024

2022

Evaluating model serving strategies over streaming data.

Sonia Horchidan, Emmanouil Kritharakis, Vasiliki Kalavri, Paris Carbone

Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

Detecting trading trends in streaming financial data using Apache Flink.

Emmanouil Kritharakis, Shengyao Luo, Vivek Unnikrishnan, Karan Vombatkere

Proceedings of the 16th ACM International Conference on Distributed and Event-based Systems, 2022