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Last Updated: August 26, 2026
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1. SIGCOMM'26: Efficiently Serving Long-Context Large Language Models with In-Network Aggregation
... Turbo a system for
2. SIGCOMM'26: Balanced Sparse Tree: A Scalable Network Topology for Large Language Models
... to present our work balanced bus tree a scalable
3. SIGCOMM'26: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving
... Chinese Academy of Sciences advised by professor Dinway Tao his research focus on
4. SIGCOMM'25: NetAI & Wireless - ByteScale
Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs
5. SIGCOMM'26: Orchestrating Heterogeneous Geo-Distributed Training with Network-Aware Scheduling
... constrained shared wide air
6. SIGCOMM'26: CSIG: Congestion Signaling for Datacenter Transports
All right our next speaker is Abham he's a software engineer at Google where he works on
7. SIGCOMM'26: Accelerating Agentic LLM Inference by Harvesting Disaggregated KV-Cache Storage I/O
Under the
8. SIGCOMM'26: TurboBus: Pooling PCIe Bandwidth for LLM Workloads via Scale-Up Fabrics
... like everybody knows
9. SIGCOMM'26: CacheFlare: Optimizing Cold Content Performance in CDNs
... a software engineer on the content infrastructure team at Meta where he works on
10. SIGCOMM'26: Interleaving Multiple Priority Queues for High Speed Programmable Scheduling
... popular
11. SIGCOMM'26: Root Cause Analysis for Multi-Vendor Device Failures with LLM-Powered Reasoning
... interests include resource
12. SIGCOMM'26: Rethinking Cloud Optimization: Volatility-Driven for Better Outcomes
... much lower than the reserved capacity so a
13. SIGCOMM'26: Rules Offload Engine (ROE): Accelerating Host SDN Policy Evaluation
... tracking the connection states UF tracking quality of
14. SIGCOMM'26: Explainable Network Verification via Localized Subspecification
... us about local subspecifications that help explain verified
15. SIGCOMM'25: Networking for Stateful LLM Inference (online tutorial)
SIGCOMM
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