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researcher

Matthew D. Laws

4 papers hereh-index 12 citations3 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CR1
  • cs.DS1
  • cs.MA1

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.MA2026

PANDA: A Decentralized Architecture with Flexible Orchestration for Scalable, Fault-Tolerant Multi-Agent Systems

Matthew D. Laws, Cristina Nita-Rotaru

Existing architectures for LLM-based multi-agent systems (MAS) cannot reliably and efficiently solve multi-step tasks at scale: they struggle to support large numbers of agents and…

cs.AI2026

APWA: A Distributed Architecture for Parallelizable Agentic Workflows

Evan Rose, Tushin Mallick, Matthew D. Laws +2

Autonomous multi-agent systems based on large language models (LLMs) have demonstrated remarkable abilities in independently solving complex tasks in a wide breadth of application…

cs.CR2026

Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversaries

Matthew D. Laws, Alina Oprea, Cristina Nita-Rotaru

Agentic AI governance is a critical component of agentic AI infrastructure ensuring that agents follow their owner's communication and interaction policies, and providing protectio…

cs.DS2024

SPIDER: Improved Succinct Rank and Select Performance

Matthew D. Laws, Jocelyn Bliven, Kit Conklin +3

Rank and select data structures seek to preprocess a bit vector to quickly answer two kinds of queries: rank(i) gives the number of 1 bits in slots 0 through i, and select(j) gives…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.