7 papers
Dynamic Topology Optimization for Non-IID Data in Decentralized Learning
Bart Cox, Antreas Ioannou, Jérémie Decouchant
Decentralized learning (DL) enables a set of nodes to train a model collaboratively without central coordination, offering benefits for privacy and scalability. However, DL struggl…
Balancing Fairness and Performance in Multi-User Spark Workloads with Dynamic Scheduling (extended version)
Dāvis Kažemaks, Laurens Versluis, Burcu Kulahcioglu Ozkan +1
Apache Spark is a widely adopted framework for large-scale data processing. However, in industrial analytics environments, Spark's built-in schedulers, such as FIFO and fair schedu…
NEMO: Faster Parallel Execution for Highly Contended Blockchain Workloads (Full version)
François Ezard, Can Umut Ileri, Jérémie Decouchant
Following the design of more efficient blockchain consensus algorithms, the execution layer has emerged as the new performance bottleneck of blockchains, especially under high cont…
StarveSpam: Mitigating Spam with Local Reputation in Permissionless Blockchains
Rowdy Chotkan, Bulat Nasrulin, Jérémie Decouchant +1
Spam poses a growing threat to blockchain networks. Adversaries can easily create multiple accounts to flood transaction pools, inflating fees and degrading service quality. Existi…
Go With The Flow: Churn-Tolerant Decentralized Training of Large Language Models
Nikolay Blagoev, Bart Cox, Jérémie Decouchant +1
Motivated by the emergence of large language models (LLMs) and the importance of democratizing their training, we propose GWTF, the first crash tolerant practical decentralized tra…
Taming Double-Spending in Offline Payments with Reputation-Weighted Loan Networks
Nektarios Evangelou, Rowdy Chotkan, Bulat Nasrulin +1
Blockchain solutions typically assume a synchronous network to ensure consistency and achieve consensus. In contrast, offline transaction systems aim to enable users to agree on an…