Mortier, Richard

1. A Generalised Solution to Distributed Consensus
   2019/02/18 by Heidi Howard, Howard, Heidi, Richard Mortier +1 · 5 voices
   #cs.DC
2. Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems
   2024/07/04 by Grant Wilkins, Wilkins, Grant, Srinivasan Keshav +3 · 8 citations
   Computer Science · #Distributed #Distributed and Parallel Computing Systems #FOS: Computer and information sciences #Parallel #and Cluster Computing (cs.DC)
3. Human-Data Interaction: The Human Face of the Data-Driven Society
   2014/10/06 by Mortier, Richard, Haddadi, Hamed, Henderson, Tristan +2 · 2 citations
   #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Social and Information Networks (cs.SI)
4. Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads
   2024/04/25 by Grant Wilkins, Wilkins, Grant, Srinivasan Keshav +3 · 5 citations
   Computer Science · #Advanced Data Storage Technologies #Artificial Intelligence (cs.AI) #Distributed #FOS: Computer and information sciences #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
5. Personal Data: Thinking Inside the Box
   2015/01/20 by Hamed Haddadi, Heidi Howard, Haddadi, Hamed +9 · 2 citations
   Computer Science · #Computers and Society (cs.CY) #Context-Aware Activity Recognition Systems #Distributed systems and fault tolerance #FOS: Computer and information sciences #Opportunistic and Delay-Tolerant Networks
6. The Case for Retraining of ML Models for IoT Device Identification at the Edge
   2020/11/17 by Kolcun, Roman, Popescu, Diana Andreea, Safronov, Vadim +5 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Networking and Internet Architecture (cs.NI)
7. FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
   2023/12/20 by Grant Wilkins, Wilkins, Grant, Sheng Di +11 · 2 citations
   Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications
8. Revisiting IoT Device Identification
   2021/07/16 by Kolcun, Roman, Popescu, Diana Andreea, Safronov, Vadim +4 · 1 citation
   #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
9. Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems
   2024/01/03 by Iker Perez, Jason Wong, Perez, Iker +11 · 1 citation
   Computer Science · #Anomaly Detection Techniques and Applications #Blockchain Technology Applications and Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Imbalanced Data Classification Techniques #Machine Learning (cs.LG)