Streaming Communication
No mentions found
This entity hasn't been tracked yet, or Iris is still building its knowledge base.
Related Articles from SNS
Streaming Communication in Multi-Agent Reasoning
arXiv:2606.05158v1 Announce Type: new Abstract: Multi-agent reasoning systems adopt a "generate-then-transfer" paradigm that forces end-to-end latency to scale linearly with pipeline depth. We introduce StreamMA, a multi-agent reasoning system that streams each reasoning step to downstream agents as soon as it is generated, pipelining adjacent agents and thus reducing latency. Surprisingly, this pipelining also improves effectiveness: because multi-step reasoning quality is non-uniform and...
Latent Reasoning with Normalizing Flows
arXiv:2606.06447v1 Announce Type: new Abstract: Large language models often improve reasoning by generating explicit chain-of-thought (CoT), demonstrating the importance of intermediate computation. However, textual CoT forces this computation through a discrete, serial, and communication-oriented token stream: each reasoning step must be verbalized before the model can proceed, even when the underlying update is semantic, uncertain, or only partially formed. Latent reasoning offers a...
Resource-aware Computation-Communication Overlap for multi-GPU ML Workloads
new Abstract: The rapid growth of large-scale machine learning (ML) has made distributed training across multiple GPUs a fundamental component of modern ML systems. As model sizes and computational throughput continue to increase, communication overhead has become a dominant bottleneck in multi-GPU training, particularly when computation and communication are executed sequentially. This work explores concurrent execution of computation and collective communication using two portable runtime...
Why the Arctic's rivers are rusting now and where toxic orange water could spread next
Why the Arctic's rivers are rusting now and where toxic orange water could spread next Sadie Harley Scientific Editor Robert Egan Associate Editor Scientists have identified the two biggest reasons that once-pristine rivers across the Arctic are growing cloudy with toxic orange iron particles that smother insects and suffocate fish. A new study published in Communications Earth & Environment builds on earlier research documenting widespread contamination in Alaska's Brooks Range. As the...
New light-powered chip could accelerate AI and quantum computing
New light-powered chip could accelerate AI and quantum computing - Date: - June 2, 2026 - Source: - Monash University - Summary: - Scientists have created a tiny chip that can generate, steer, and read light-based information all in one device, marking a major leap toward ultra-fast, energy-efficient computing. The breakthrough uses atomically thin materials and nanoscale structures to control a unique quantum property of light called the “valley” degree of freedom, allowing information to...
SIGMA: A Versatile Streaming Graph Partitioner for Vertex- and Edge-Balanced Distributed GNN Training
Announce Type: new Abstract: Distributed Graph Neural Network (GNN) training depends critically on how the underlying graph is partitioned across compute resources. Existing graph partitioners focus either on vertex partitioning or edge partitioning and typically optimize only a single communication objective (edge cut or vertex cut) under a single balance constraint (vertex balance or edge balance).
We can predict space weather—what if we could also stop it?
We can predict space weather—what if we could also stop it? Stephanie Baum Scientific Editor Robert Egan Associate Editor The weather on Earth can get pretty messy sometimes. But in space, it can be wild, and the effects can be far-reaching.
Learned Subspace Compression for Communication-Efficient Pipeline Parallelism
Announce Type: new Abstract: Pipeline parallelism enables training of large language models that exceed single-device memory, yet inter-stage activation communication becomes the dominant bottleneck when trained on low-bandwidth networks. Recent work in this area has proposed using fixed orthogonal projections to compress activations. However, this still results in a significant performance degradation and requires a number of non-standard adaptations to constrain the optimization.
Evaluating Multimodal Steganalysis for Split-Payload Audiovisual Steganography
arXiv:2606.08726v1 Announce Type: new Abstract: The aim of steganography is to hide secret information inside ordinary media so that the existence of communication is hidden rather than encrypted. In audiovisual context, the availability of audio and video streams creates an opportunity to split a payload across these two modes thus, reducing the embedding burden on any single carrier. This paper evaluates whether such split-payload audiovisual steganography can help evade unimodal and...
MOC: Multi-Order Communication in LLM-based Multi-Agent Systems
arXiv:2606.02359v1 Announce Type: new Abstract: Despite the remarkable progress of Large Language Model (LLM) based Multi-Agent Systems, most research focuses on optimizing coordination topology while largely underexploring the equally critical problem: how to transmit and optimize messages among agents effectively? Current communication schemes typically rely on the direct concatenation of first-order neighbor responses, which induces a restricted evidence receptive field and leads to the...