Collaborative Inference

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Most implemented papers archive 2025-07-28

19 shown of 19 papers with code (68 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Private Collaborative Edge Inference via Over-the-Air Computation
  30 Jul 2024 4 repositories listed
  We consider collaborative inference at the wireless edge, where each client's model is trained independently on its local dataset.
• MLink: Linking Black-Box Models from Multiple Domains for Collaborative Inference
  28 Sep 2022 3 repositories listed
  The cost efficiency of model inference is critical to real-world machine learning (ML) applications, especially for delay-sensitive tasks and resource-limited devices.
• Petals: Collaborative Inference and Fine-tuning of Large Models
  2 Sep 2022 2 repositories listed
  However, these techniques have innate limitations: offloading is too slow for interactive inference, while APIs are not flexible enough for research that requires access to weights, attention or logits.
• SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning
  8 Oct 2021 2 repositories listed Syntology ran 8 of 14 samples · 6 unverified
  Self-supervised learning has been shown to be very effective in learning useful representations, and yet much of the success is achieved in data types such as images, audio, and text.
• Dual Attention Networks for Multimodal Reasoning and Matching
  2 Nov 2016 2 repositories listed
  We propose Dual Attention Networks (DANs) which jointly leverage visual and textual attention mechanisms to capture fine-grained interplay between vision and language.
• Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
  1 Mar 2025 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  By locally encoding raw data into intermediate features, collaborative inference enables end users to leverage powerful deep learning models without exposure of sensitive raw data to cloud servers.
• PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
  7 Feb 2025 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Learning informative representations of phylogenetic tree structures is essential for analyzing evolutionary relationships.
• CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing
  4 Feb 2025 1 repository listed Syntology ran 1 of 2 samples · 1 unverified · 2 pointer-only (licence)
  This allows the router to learn to predict token-level routing scores and make routing decisions based on both the current token and the future impact of its decisions.
• Distributed Mixture-of-Agents for Edge Inference with Large Language Models
  30 Dec 2024 1 repository listed
  Further, we demonstrate through experiments, leveraging open-source LLMs for the implementation of distributed MoA, that certain MoA configurations produce higher-quality responses compared to others, as evaluated on…
• GREAT: Geometry-Intention Collaborative Inference for Open-Vocabulary 3D Object Affordance Grounding
  29 Nov 2024 1 repository listed
  In light of this, we propose GREAT (GeometRy-intEntion collAboraTive inference) for Open-Vocabulary 3D Object Affordance Grounding, a novel framework that mines the object invariant geometry attributes and performs…
• Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection
  12 Jul 2024 1 repository listed Syntology ran 9 of 10 samples · 1 unverified
  In this paper, we propose a Global-Local Collaborative Scheme (GLIS) for the lidar-based OVD task, which contains a local branch to generate object-level detection result and a global branch to obtain scene-level global…
• LiveMind: Low-latency Large Language Models with Simultaneous Inference
  20 Jun 2024 1 repository listed Syntology ran 1 of 1 samples · 0 unverified
  By employing an large LLM for inference and a small LLM for output, we achieve an average 37% reduction in response latency, alongside a 4.
• GSCo: Towards Generalizable AI in Medicine via Generalist-Specialist Collaboration
  23 Apr 2024 1 repository listed Syntology ran 7 of 8 samples · 1 unverified
  Specifically, we propose a cooperative framework, Generalist-Specialist Collaboration (GSCo), which consists of two stages, namely the construction of GFM and specialists, and collaborative inference on downstream tasks.
• Attention-aware Semantic Communications for Collaborative Inference
  23 Feb 2024 1 repository listed
  Therefore, instead of employing the partitioning strategy, our framework utilizes a lightweight ViT model on the edge device, with the server deploying a complicated ViT model.
• Architectural Vision for Quantum Computing in the Edge-Cloud Continuum
  9 May 2023 1 repository listed
  We discuss the necessity, challenges, and solution approaches for extending existing work on classical edge computing to integrate QPUs.
• DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain
  15 Jul 2022 1 repository listed
  To compensate, the method introduces a plug-in interactive block to allow attention transfer from the client-side by producing a feature mask.
• Decentralized Low-Latency Collaborative Inference via Ensembles on the Edge
  7 Jun 2022 1 repository listed
  The success of deep neural networks (DNNs) is heavily dependent on computational resources.
• Multi-Agent Collaborative Inference via DNN Decoupling: Intermediate Feature Compression and Edge Learning
  24 May 2022 1 repository listed
  In this paper, we study the multi-agent collaborative inference scenario, where a single edge server coordinates the inference of multiple UEs.
• PRICURE: Privacy-Preserving Collaborative Inference in a Multi-Party Setting
  19 Feb 2021 1 repository listed
  This paper presents PRICURE, a system that combines complementary strengths of secure multi-party computation (SMPC) and differential privacy (DP) to enable privacy-preserving collaborative prediction among multiple…

Syntology lines on 7 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.