A novel multi-agent reinforcement learning algorithm, TC-GQN, is proposed for high-level control and orchestration of mobile networks, enabling energy savings while maintaining QoS.

The paper introduces PersTurnBench, a novel benchmark and evaluator for assessing personalized user conversation satisfaction at specific turns, addressing the limitation of generic response quality m…

This paper demonstrates the integration of the quantum-resistant FALCON digital signature scheme into an MQTT-based IoT network using Raspberry Pi 5s to secure communications against future quantum at…

The paper introduces PQC Validator, a comprehensive, layered framework designed to rigorously test and validate the actual post-quantum cryptographic readiness of cloud-native 5G Core networks, addres…

This paper models transaction fee dynamics on blockchains by treating the transaction queue as a priority queue, providing analytical insights into how user delay costs influence fees.

The paper introduces GateScope, a black-box framework that audits commercial LLM API gateways, revealing frequent discrepancies in model behavior, billing, and performance across real-world services.

The paper addresses limitations in the Linear Ordering Problem (LOP) by introducing a novel benchmark suite derived from current economic data and an algorithmic scheme to generate diverse, high-quali…

The paper models latent worker preferences in gig labor markets using the Preisach hysteresis model, demonstrating that predicting acceptance rates can simultaneously reduce labor costs and increase s…

The paper introduces CAN-QA, a novel question-answering benchmark that reformulates CAN traffic analysis from a classification task to a reasoning task, demonstrating that current LLMs struggle with c…

The paper proposes a provably secure path validation protocol for large-scale Quantum Key Distribution (QKD) networks that allows receivers to verify network compliance without revealing sensitive top…

The paper advocates for the deployment of the European Communication Infrastructure (EuroQCI), a continent-wide Quantum Key Distribution (QKD) network, to safeguard critical European digital services…

The paper proposes decomposing the assessment of massive multilingual parallel data into separate parallelism and quality estimation components, concluding that no single universal metric is reliable…

RASER introduces a family of cheap, router-based systems that selectively decide whether to perform expensive multi-hop retrieval, significantly reducing LLM token costs while maintaining state-of-the…

The paper introduces Tofu, a generalizable tool that automatically performs rigorous channel fault analysis on distributed protocols, synthesizing attack traces or proving their absence for given LTL…

The paper introduces SB-ECC, a novel score-based decoder that models error correction as continuous-time denoising, achieving state-of-the-art performance across various code families and noise levels…

RegGuard is a unified framework that enhances optimistic rollups with three coordinated mechanisms—semantic validation, cross-layer state consistency checks, and fair ordering—to make them suitable fo…

The paper proposes and evaluates efficient, quantum-safe variants of the Internet Key Exchange (IKE) protocol tailored for the unique resource constraints and latency challenges of satellite communica…

CARE-RL introduces a framework combining protocol-aware reward generation and capability-aware optimization to effectively mitigate cross-domain conflicts in multi-domain reinforcement learning for LL…

This paper addresses the challenge of achieving optimal fairness and accuracy simultaneously in multi-class classification by proposing novel in-processing and post-processing algorithms that converge…