Wonderboom aggregates signatures from over two million validators in one Ethereum slot with stronger security guarantees against stake-shifting attacks than the existing protocol.
Kauri: Scalable bft consensus with pipelined tree-based dissemination and aggregation
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
FlexPipe introduces runtime pipeline refactoring for LLMs to achieve higher resource efficiency and lower latency in serverless GPU clusters with fragmentation.
ServeGen characterizes production LLM inference workloads across model types and generates realistic per-client composed workloads that reduce under-provisioning by 50% in a production validation.
citing papers explorer
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Wonderboom -- Efficient, and Censorship-Resilient Signature Aggregation for Million Scale Consensus
Wonderboom aggregates signatures from over two million validators in one Ethereum slot with stronger security guarantees against stake-shifting attacks than the existing protocol.
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FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
FlexPipe introduces runtime pipeline refactoring for LLMs to achieve higher resource efficiency and lower latency in serverless GPU clusters with fragmentation.
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ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production
ServeGen characterizes production LLM inference workloads across model types and generates realistic per-client composed workloads that reduce under-provisioning by 50% in a production validation.