6 papers
Practitioner Motives to Use Different Hyperparameter Optimization Methods
Niclas KannengieÃer, Niklas Hasebrook, Felix Morsbach +5
Programmatic hyperparameter optimization (HPO) methods, such as Bayesian optimization and evolutionary algorithms, are highly sample-efficient in identifying optimal hyperparameter…
From Concept to Measurement: A Survey of How the Blockchain Trilemma Is Analyzed
Mansur Masama Aliyu, Niclas KannengieÃer, Ali Sunyaev
The blockchain trilemma highlights the difficulty of simultaneously achieving a high degree of decentralization (DoD), scalability, and security in blockchain systems. While numero…
Automated Market Makers: A Stochastic Optimization Approach for Profitable Liquidity Concentration
Simon Caspar Zeller, Paul-Niklas Ken Kandora, Daniel Kirste +3
Concentrated liquidity automated market makers (AMMs), such as Uniswap v3, enable liquidity providers (LPs) to earn liquidity rewards by depositing tokens into liquidity pools. How…
Automated Market Makers in Cryptoeconomic Systems: A Taxonomy and Archetypes
Daniel Kirste, Niclas KannengieÃer, Ricky Lamberty +1
Designing automated market makers (AMMs) is crucial for decentralized token exchanges in cryptoeconomic systems. At the intersection of software engineering and economics, AMM desi…
Automated Market Makers: Toward More Profitable Liquidity Provisioning Strategies
Thanos Drossos, Daniel Kirste, Niclas KannengieÃer +1
To trade tokens in cryptoeconomic systems, automated market makers (AMMs) typically rely on liquidity providers (LPs) that deposit tokens in exchange for rewards. To profit from su…
Collaborative Distributed Machine Learning
David Jin, Niclas KannengieÃer, Sascha Rank +1
Various collaborative distributed machine learning (CDML) systems, including federated learning systems and swarm learning systems, with diferent key traits were developed to lever…