Aggregation Buffer
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Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
arXiv:2505.20840v2 Announce Type: replace Abstract: We revisit DropEdge, a data augmentation technique for GNNs which randomly removes edges to expose diverse graph structures during training. While being a promising approach to effectively reduce overfitting on specific connections in the graph, we observe that its potential performance gain in supervised learning tasks is significantly limited. To understand why, we provide a theoretical analysis showing that the limited performance of...
Echelon: Auditable Aggregate-Only Language-Model Adaptation Across Privacy Boundaries
Announce Type: new Abstract: Cross-organization language-model adaptation increasingly faces hard governance constraints: in many deployments, device-level model state-parameters, activations, optimizer state, and per-device updates-cannot be exported outside an administrative boundary. Existing distributed and federated stacks typically assume cross-site model exchange and then retrofit privacy mechanisms, which complicates compliance and makes auditing brittle. We present Echelon, a...
FedQueue: Queue-Aware Federated Learning for Cross-Facility HPC Training
arXiv:2605.02125v3 Announce Type: replace Abstract: Federated learning (FL) across multiple HPC facilities faces stochastic admission delays from batch schedulers that dominate wall-clock time. Synchronous FL suffers from severe stragglers, while asynchronous FL accumulates stale updates when queues spike. We propose FedQueue, a queue-aware FL protocol that incorporates scheduler delays directly into training and aggregation, which (i) predicts per-facility queue delays online to budget...
Rain: RDMA-assisted In-Network Scheduling for Microsecond-scale Workloads
Announce Type: new Abstract: Modern data center applications increasingly require microsecond-scale service time with strict tail latency requirements, which can hardly be realized with existing in-network task schedulers due to their inherent limitations. Specifically, software-based schedulers struggle to balance throughput and latency, while switch-based designs either lack global coordination, rely on packet recirculation heavily, or only offer limited support for large tasks. In light...
Light-induced quantum friction of carbon nanotubes in water
Abstract Friction slows down moving objects at both macroscopic and microscopic scales1. At the electronic level, quantum friction describes direct transfer of momentum between a liquid and the electrons of a solid2. Owing to its microscopic nature, this phenomenon remains experimentally challenging to capture3.
Show HN: Keybench – Scriptable, extensible performance tool for key value stores
guycipher/keybench Folders and files | Name | Name | Last commit date | || |---|---|---|---|---| Repository files navigation keybench ======== A scriptable, extensible performance tool for sorted key value stores.
Port React Compiler to Rust
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India shows ‘cautious resilience’ despite Middle East conflict: DEA
India's economic story is expected to remain on a path of "cautious resilience" in the near term, even as global uncertainties continue to grow, the department of economic affairs (DEA) said in its Monthly Economic Review for May. However, it cautioned that the ongoing conflict in the Middle East, rising crude oil prices and the possibility of a weaker-than-normal monsoon could pose challenges to growth and fuel inflationary pressures in the months ahead. Despite these risks, the DEA said...