| 2024 | A Universal Graph Transaction-Log. | Luis Garcs-Erice, Enrico Toniato, Daniel Bauer, Peter Urbanetz, Sean Rooney |
| 2024 | StreamSense: Policy-driven Semantic Video Search in Streaming Systems. | Gerard Finol, Arnau Gabriel, Pedro Garca Lpez, Ral Gracia Tinedo, Luis Liu, Reuben Docea, Max Kirchner, Sebastian Bodenstedt |
| 2024 | Serverful Functions: Leveraging Servers in Complex Serverless Workflows (industry track). | Germn T. Eizaguirre, Daniel Barcelona Pons, Aitor Arjona, Gil Vernik, Pedro Garca Lpez, Theodore Alexandrov |
| 2024 | Towards Resilience of Community-based Intrusion Detection. | Philipp Eichhammer |
| 2024 | A Conversational Assistant Framework for Automation. | Evelyn Duesterwald, Vatche Isahagian, K. R. Jayaram, Ritesh Kumar, Vinod Muthusamy, Punleuk Oum, Gegi Thomas, Praveen Venkateswaran |
| 2024 | QuickDrop: Efficient Federated Unlearning via Synthetic Data Generation. | Akash Balasaheb Dhasade, Yaohong Ding, Song Guo, Anne-Marie Kermarrec, Martijn de Vos, Leijie Wu |
| 2024 | Towards Practical Homomorphic Aggregation in Byzantine-Resilient Distributed Learning. | Antoine Choffrut, Rachid Guerraoui, Rafael Pinot, Renaud Sirdey, John Stephan, Martin Zuber |
| 2024 | Comparative Analysis and Optimization of LoRA Adapter Co-serving for Large Language Models. | Jiaxuan Chen |
| 2024 | Personalized Privacy-Preserving Federated Learning. | Cdric Boscher, Nawel Benarba, Fatima Elhattab, Sara Bouchenak |
| 2024 | Towards SLO-Compliant and Cost-Effective Serverless Computing on Emerging GPU Architectures. | Vivek M. Bhasi, Aakash Sharma, Rishabh Jain, Jashwant Raj Gunasekaran, Ashutosh Pattnaik, Mahmut Taylan Kandemir, Chita R. Das |
| 2024 | A2L: User-Transparent Workload-Adaptive Asynchronous I/O Layer (industry track). | Byoung Chul An, Hanul Sung, Hyeonsang Eom |
| 2024 | Chasing Lightspeed Consensus: Fast Wide-Area Byzantine Replication with Mercury. | Christian Berger, Lvio Rodrigues, Hans P. Reiser, Vinicius Vielmo Cogo, Alysson Bessani |
| 2023 | LogDAPT: Log Data Anomaly Detection with Domain-Adaptive Pretraining (industry track). | Haoyu Zheng, Guojun Chu, Haifeng Sun, Jingyu Wang, Shimin Tao, Hao Yang |
| 2023 | SecV: Secure Code Partitioning via Multi-Language Secure Values. | Peterson Yuhala, Pascal Felber, Hugo Guiroux, Jean-Pierre Lozi, Alain Tchana, Valerio Schiavoni, Gal Thomas |
| 2023 | Towards Optimal Preemptive GPU Time-Sharing for Edge Model Serving. | Zhengxu Xia, Yitian Hao, Jun Duan, Chen Wang, Junchen Jiang |
| 2023 | Towards a User-Centric Decentralized Web: Lightweight Clients as First-class Blockchain Citizens. | Weihong Wang |
| 2023 | Adaptive Thresholding for Fair and Robust Biometric Authentication. | Willem Verheyen |
| 2023 | Practical Storage-Compute Elasticity for Stream Data Processing. | Ral Gracia Tinedo, Flavio Junqueira, Brian Zhou, Yimin Xiong, Luis Liu |
| 2023 | Pravega: A Tiered Storage System for Data Streams. | Ral Gracia Tinedo, Flavio Junqueira, Tom Kaitchuck, Sachin Joshi |
| 2023 | FastXenBlk: high-performance virtualized disk IOs without compromising isolation (industry track). | Damien Thenot, Jean-Pierre Lozi, Gal Thomas |
| 2023 | Towards Building Edge-side Common Data Processing Services on The Computing Continuum. | Yusuke Tanimura, Hidemoto Nakada, Yunzhi Dong |
| 2023 | ABCperf: Performance Evaluation of Fault Tolerant State Machine Replication Made Simple: Demo Abstract. | Tilo Spannagel, Marc Leinweber, Adriano Castro, Hannes Hartenstein |
| 2023 | Decentralized Service Composition Applications (dXapps): Towards A new Paradigm for Building Blockchain Applications. | Sion Israel Sion |
| 2023 | Federated Computing in Electric Vehicles to Predict Coolant Temperature. | Ren Schwermer, Ekin-Alp Bicer, Pascal A. Schirmer, Ruben Mayer, Hans-Arno Jacobsen |
| 2023 | Towards Fine Grain Resource Management for Stream Processing. | Donatien Schmitz |