multi-topic, publish from gh-pages branch

site/data/cloud-edge/papers/SEC-2025-digest.yaml

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+venue: SEC
+year: 2025
+papers:
+- title: 'lm-Meter: Unveiling Runtime Inference Latency for On-Device Language Models'
+  authors:
+  - Haoxin Wang 0003
+  reason: "Provides the first detailed runtime profiling framework for on-device LLM inference, revealing key latency bottlenecks across diverse edge hardware configurations."
+- title: 'SLED: A Speculative LLM Decoding Framework for Efficient Edge Serving'
+  authors:
+  - Xiangchen Li
+  reason: "Adapts speculative decoding to edge serving constraints, reducing LLM token generation latency while respecting the tight memory and compute budgets of edge nodes."
+- title: 'SledgeScale: Load-Aware Dispatch and Deadline-Driven Scheduling for Scalable,
+    Dense Serverless Computing in Edge Data Centers'
+  authors:
+  - Xiaosu Lyu
+  reason: "Introduces a load-aware dispatch and deadline-driven scheduler for dense serverless edge data centers, demonstrating substantial SLA compliance improvements over baseline policies."
+- title: 'Warping the Edge: Enabling Instant Mobility for Stateful Applications over
+    5G and Beyond'
+  authors:
+  - Mukhtiar Ahmad
+  reason: "Achieves near-instantaneous stateful application migration across 5G edge nodes by combining memory snapshotting with network-layer forwarding continuity."
+- title: Uncertainty-Aware RL-Based Scheduling of Multi-DNN Workloads on Edge MPSoCs
+  authors:
+  - Soroush Heidari
+  reason: "Uses uncertainty-aware reinforcement learning to schedule concurrent DNN workloads on heterogeneous edge MPSoCs, reducing deadline misses under dynamic arrival patterns."
+- title: 'SEEB-GPU: Early-Exit Aware Scheduling and Batching for Edge GPU Inference'
+  authors:
+  - Srinivasan Subramaniyan
+  reason: "Exploits early-exit branching in DNN inference to build an adaptive batching and scheduling policy for edge GPUs that cuts average latency without sacrificing throughput."
+- title: 'Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation'
+  authors:
+  - Sudaksh Kalra
+  reason: "Proposes elastic transformer transformations that resize model capacity at runtime to match available edge resources, enabling continuous inference under fluctuating conditions."
+- title: 'PlatformX: An End-to-End Transferable Platform for Energy-Efficient Neural
+    Architecture Search'
+  authors:
+  - Xiaolong Tu
+  reason: "Presents a transferable NAS platform that searches for energy-efficient DNN architectures deployable across heterogeneous edge targets with minimal re-search overhead."
+- title: 'Bayes-Split-Edge: Bayesian Optimization for Constrained Collaborative Inference
+    in Wireless Edge Systems'
+  authors:
+  - Fatemeh Zahra Safaeipour
+  reason: "Applies Bayesian optimization to find optimal split points for collaborative inference in wireless edge systems, accounting for dynamic channel and computation constraints."
+- title: Energy-efficient DNN Dividing Technique for Latency Optimization in Dynamic
+    Mobile Edge Networks
+  authors:
+  - Eldiyar Zhantileuov
+  reason: "Develops a DNN partitioning strategy for mobile edge networks that minimizes end-to-end latency while satisfying energy budgets under time-varying link conditions."
+- title: LLM-Driven Auto Configuration for Transient IoT Device Collaboration
+  authors:
+  - Hetvi Shastri
+  reason: "Leverages LLMs to automate the configuration of transient IoT device coalitions, reducing manual setup overhead and adapting collaboration policies to changing device membership."
+- title: 'fReeLoaders: An IoT Ecosystem for Real-Time Deadline-Driven Task Scheduling
+    using Reinforcement Learning'
+  authors:
+  - Marshall Clyburn
+  reason: "Builds a reinforcement-learning scheduler for IoT ecosystems that meets real-time task deadlines by exploiting opportunistic idle capacity across heterogeneous edge devices."