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Every paper Pith has read. Search by title, abstract, or pith.
370 papers in cs.NI · page 1
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Adaptive KV compression speeds disaggregated LLM serving up to 9x
KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving
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Canary tokens link scrapers to the LLMs they feed
Identifying AI Web Scrapers Using Canary Tokens
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Drone swarms adapt composition to deliver lower latency connectivity
Swarm Network-as-a-Service (SNaaS)
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Network routes AI capabilities like content on demand
Intelligence Delivery Network: Toward an Internet Architecture for the AI Age
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Survey taxonomizes caching methods in Named Data Networks
Content Caching Methods in Named Data Networks
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Low-complexity estimator brings AoI scheduling to 5G
Toward Practical Age-of-Information Scheduling in 5G Cellular
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QR-D3QN cuts persistent age violations in wireless updates
A Persistence-Aware Framework for Age Violation Control in Wireless Status Update Systems
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Neural optimizer solves risk-aware WAN routing 100000x faster
NeuroRisk: Physics-Informed Neural Optimization for Risk-Aware Traffic Engineering
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Dynamic pricing stabilizes mempool volume at target capacity
Dynamic Transaction Scheduling and Pricing in the Ethereum Mempool
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Reusable subrings cut All-to-All time 3-10x
Bridge: Optimizing Collective Communication Schedules in Reconfigurable Networks with Reusable Subrings
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LLM NetOps reliability depends on controls around the model
Large Language Models for Agentic NetOps and AIOps: Architectures, Evaluation, and Safety
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Semantic links cut uplink needs for space data centers
Toward Communication-Efficient Space Data Centers: Bottlenecks, Architectures, and New Paradigms
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GNN allocates power decentrally in multi-channel MANETs
Decentralized Multi-Channel MANET Power Optimization Using Graph Neural Networks
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Exact repair achieves optimal storage and bandwidth in quantum storage
Simultaneously Minimizing Storage and Bandwidth Under Exact Repair With Quantum Entanglement
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Commercial 5G dataset aids AI handover and beam management
Enabling AI-Native Mobility in 6G: A Real-World Dataset for Handover, Beam Management, and Timing Advance
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Link failures cap LEO capacity scalability at O(1/n)
Capacity Scalability of LEO Constellations With Dynamic Link Failures
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Node failures scale wireless capacity and delay with sqrt of reliable nodes
On Capacity and Delay of Wireless Networks with Node Failures
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Processing energy dominates RAN consumption
Energy Consumption in Next Generation Radio Access Networks
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Buffering in destination switches cuts cross-DC LLM training delays by 14%
Avoiding Cross-Datacenter Collective Congestion via Disaggregated Buffering
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Destination buffers cut cross-DC collective slowdown by 14%
Avoiding Cross-Datacenter Collective Congestion via Disaggregated Buffering
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CNNs cannot deanonymize I2P traffic in lab or real tests
Convolutional-Neural-Networks for Deanonymisation of I2P Traffic
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LLMs should orchestrate 6G networks as central agents
Agents Should Replace Narrow Predictive AI as the Orchestrator in 6G AI-RAN
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Protocol rules generate missing traffic patterns to lift fingerprinting accuracy
More Than Meets the Eye: A Semantics-Aware Traffic Augmentation Framework for Generalizable Website Fingerprinting
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Flexible privacy sets yield PIR capacity bounds on path and cycle graphs
Private Information Retrieval With Arbitrary Privacy Requirements for Graph-Based Storage
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Local privacy multiplies PIR capacity on graph unions
Local Private Information Retrieval: A New Privacy Perspective for Graph-Based Replicated Systems
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Dataset releases 100 hours of Valorant play for biometric fingerprinting
BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data
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Transformers forecast spectrum activity with 3.25 dB RMSE across 33 bands
Large Spectrum Models (LSMs): Decoder-Only Transformer-Powered Spectrum Activity Forecasting via Tokenized RF Data
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Platforms let anyone measure mobile network security
Democratizing Measurement of Critical Mobile Infrastructure: Security and Privacy in an Increasingly Centralized Communication Ecosystem
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Symbolic rules replace black-box DRL in Open RAN at 78-87% performance
Demystifying Deep Reinforcement Learning: A Neuro-Symbolic Framework for Interpretable Open RAN Automation
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Symbolic rules recover 78-87% of DRL performance in O-RAN
Demystifying Deep Reinforcement Learning: A Neuro-Symbolic Framework for Interpretable Open RAN Automation
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Hybrid tokenization curbs DGA drift over 9 years
DRIFT: Drift-Resilient Invariant-Feature Transformer for DGA Detection
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Small models reach strong edge-agent results when tools match the model
Agentic Performance at the Edge: Insights from Benchmarking
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Attention fuses LEO measurements for spectrum cartography
Learning-Based Spectrum Cartography in Low Earth Orbit Satellite Networks: An Overview
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50% less energy for satellite edge computing at 95% latency compliance
Statistical Analysis for Energy-Efficient Satellite Edge Computing with Latency Guarantees
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KEM-IES upgrades ECIES with PQC KEM and Ascon
Key Encapsulation Mechanism-Based Integrated Encryption Scheme (KEM-IES)
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Field tests show DRL MAC achieves high-throughput fair underwater access
Is DRL-based MAC Ready for Underwater Acoustic Networks? Exploring Its Practicality in Real Field Experiments
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Adaptive offloading lifts LLM throughput 65% at 47% lower energy
GELATO: Generative Entropy- and Lyapunov-based Adaptive Token Offloading for Device-Edge Speculative LLM Inference
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RL policy hits 95 percent qualified frames over LEO links
Learning to Compress and Transmit: Adaptive Rate Control for Semantic Communications over LEO Satellite-to-Ground Links
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Packet metadata switches resident BNN models in 0.005 us
In-Network Artificial Computing Enhanced Light Model-Switching for Emergency Communications Networks
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Simulator models edge computing on optical networks
GenioSim: A Novel Simulation Platform for Edge Computing over Optical Networks
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Memory mapping bridges cognitive gap in 6G AI networks
Bridging the Cognitive Gap: A Unified Memory Paradigm for 6G Agentic AI-RAN
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DQN agents adapt directional probing to balance reachability and privacy
DQN-Driven Adaptive Neighbor Discovery for Directional Aerial Networks
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CloudEmu replays real traces for repeatable vehicle video tests
CloudEmu: A Trace-Driven Cloud-Native Emulation Testbed for Vehicle Video Uplink over Cellular Networks
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TSN scheduler packs matching flows to accept 8 percent more traffic
Mixed-Criticality Flow Scheduling with Low Delay and Limited Bandwidth in TSN
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Method optimizes server placement for vertical federated learning in dynamic networks
Optimizing Server Placement for Vertical Federated Learning in Dynamic Edge/Fog Networks
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Adaptive DNN splits cut energy by 27-36% on real edge-cloud hardware
Adaptive DNN Partitioning and Offloading in Heterogeneous Edge-Cloud Continuum
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LLMs pass TSN quizzes yet miscalculate delays by 36-100 percent
TSNBench: Benchmarking LLM Proficiency in Time-Sensitive Networking
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Policy envelopes let local agents adapt SDN traffic safely
PolicyCache-SDN: Hierarchical Intra-Path Learning for Adaptive SDN Traffic Control
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Pigeon scheduling approximates minimum birds within factor 2
The Carrier Pigeon Internet Protocol: An Algorithmic (and Lighthearted) Perspective
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Function-space ADMM speeds up decentralized FL on non-IID data
Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective