Konstantinos E. Nikolakakis

1. Repeated Random Sampling for Minimizing the Time-to-Accuracy of Learning
   2023/05/28 by Patrik Okanovic, Roger Waleffe, Okanovic, Patrik +12 · 3 citations
   Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Domain Adaptation and Few-Shot Learning
2. Beyond Lipschitz: Sharp Generalization and Excess Risk Bounds for Full-Batch GD
   2022/04/26 by Konstantinos E. Nikolakakis, Nikolakakis, Konstantinos E., Farzin Haddadpour +5 · 2 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
3. Federated Learning Under Restricted User Availability
   2023/09/25 by Periklis Theodoropoulos, Theodoropoulos, Periklis, Konstantinos E. Nikolakakis +3 · 2 citations
   Computer Science · #Age of Information Optimization #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
4. FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol
   2024/04/15 by Konstantinos E. Nikolakakis, George Chantzialexiou, Nikolakakis, Konstantinos E. +2 · 1 citation
   Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)