cs updates on arXiv.org striveceo.github.io

ACE Runtime - A ZKP-Native Blockchain Runtime with Sub-Second Cryptographic Finality

arxiv.org·9w

Optimal Transport Aggregation for Distributed Mixture-of-Experts

arxiv.org·9w

A Predictive Flexibility Aggregation Method for Low Voltage Distribution System Control

arxiv.org·29w

What Do Agents Think Others Would Do? Level-2 Inverse Games for Inferring Agents' Estimates of Others' Objectives

arxiv.org·40w

Enhancing Heterogeneous Multi-Agent Cooperation in Decentralized MARL via GNN-driven Intrinsic Rewards

arxiv.org·9w

A Survey on Decentralized Federated Learning

arxiv.org·9w

DeZent: Decentralized z-Anonymity with Privacy-Preserving Coordination

arxiv.org·9w

Kite: How to Delegate Voting Power Privately

arxiv.org·69w

VB-NET: A physics-constrained gray-box deep learning framework for modeling air conditioning systems as virtual batteries

arxiv.org·9w

Less is More: Robust Zero-Communication 3D Pursuit-Evasion via Representational Parsimony

arxiv.org·9w

DeReCo: Decoupling Representation and Coordination Learning for Object-Adaptive Decentralized Multi-Robot Cooperative Transport

arxiv.org·9w

Learning to Reflect: Hierarchical Multi-Agent Reinforcement Learning for CSI-Free mmWave Beam-Focusing

arxiv.org·9w

C$^2$-Explorer: Contiguity-Driven Task Allocation with Connectivity-Aware Task Representation for Decentralized Multi-UAV Exploration

arxiv.org·9w

TeamHOI: Learning a Unified Policy for Cooperative Human-Object Interactions with Any Team Size

arxiv.org·9w

ACLM: ADMM-Based Distributed Model Predictive Control for Collaborative Loco-Manipulation

arxiv.org·9w

PRIME: Efficient Algorithm for Token Graph Routing Problem

arxiv.org·9w

SoK: Self-Sovereign Digital Identities

arxiv.org·9w

SoK: Evolution, Security, and Fundamental Properties of Transactional Systems

arxiv.org·9w

SmartGraphical: A Human-in-the-Loop Framework for Detecting Smart Contract Logical Vulnerabilities via Pattern-Driven Static Analysis and Visual Abstraction

arxiv.org·9w

Reinforcing the World's Edge: A Continual Learning Problem in the Multi-Agent-World Boundary

arxiv.org·9w

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