Sigcomm26 Efficiently Serving Long Context Large Language Models With In Network Aggregation Information Guide

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Introduction of Sigcomm26 Efficiently Serving Long Context Large Language Models With In Network Aggregation

Full SIGCOMM'26: Efficiently Serving Long-Context Large Language Models with In-Network Aggregation Guide
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Main Features

Full SIGCOMM'26: Balanced Sparse Tree: A Scalable Network Topology for Large Language Models Guide
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Latest News

Details SIGCOMM'25: NetAI & Wireless - ByteScale Update
Stay updated on Sigcomm26 Efficiently Serving Long Context Large Language Models With In Network Aggregation's latest milestones.

SIGCOMM'26: Interleaving Multiple Priority Queues for High Speed Programmable Scheduling
SIGCOMM'26: Interleaving Multiple Priority Queues for High Speed Programmable Scheduling
SIGCOMM'25: Network Architecture - NPC
SIGCOMM'25: Network Architecture - NPC
SIGCOMM'26: Orchestrating Heterogeneous Geo-Distributed Training with Network-Aware Scheduling
SIGCOMM'26: Orchestrating Heterogeneous Geo-Distributed Training with Network-Aware Scheduling
CAG vs Long Context: How AI Models Use and Remember Information
CAG vs Long Context: How AI Models Use and Remember Information
SIGCOMM'26: Achieving Network Efficiency with Service Collaborative Capacity Sharing and Enforcement
SIGCOMM'26: Achieving Network Efficiency with Service Collaborative Capacity Sharing and Enforcement
SIGCOMM'25: NetAI - MixNet
SIGCOMM'25: NetAI - MixNet
SIGCOMM'26: Connex: Endpoint Mobility Primitives for Dynamic LLM Serving
SIGCOMM'26: Connex: Endpoint Mobility Primitives for Dynamic LLM Serving
SIGCOMM'25: Network Architecture - RANBooster
SIGCOMM'25: Network Architecture - RANBooster
SIGCOMM'26: DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce
SIGCOMM'26: DynamiQ: Accelerating Gradient Synchronization using Compressed Multi-hop All-reduce
SIGCOMM'26: A Global Inference and Assessment of Large Shared IP Addresses
SIGCOMM'26: A Global Inference and Assessment of Large Shared IP Addresses
SIGCOMM'26: Aegis: Contract-Bounded Online Adaptation for Networked Accelerator Clusters
SIGCOMM'26: Aegis: Contract-Bounded Online Adaptation for Networked Accelerator Clusters

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Last Updated: September 18, 2026

Summary

Full SIGCOMM'26: InfiniFlow News
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Summary

... to present our work balanced bus tree a scalable Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs Since this experiment adopts a roundroin scheduling policy the NPC: Rethinking Dataplane through ... constrained shared wide air Our next speaker is uh Vinayak Dangi He's a MixNet: A Runtime Reconfigurable Optical-Electrical Fabric for Distributed Mixture-of-Experts Training. RANBooster: Democratizing advanced cellular connectivity through fronthaul middleboxes. ... research interest generally lie in the algorithm system code design for Authors: Vasileios Giotsas, Loqman Salamatian, Antoine Cordelle, Nick Wood, Marwan Fayed Full paper: ... ... steps summarize telemetry assign a

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