Federated Learning (FL) allows for privacy-preserving model training by enabling clients to upload model gradients without exposing their personal data. However, the decentralized nature of FL ...
All celestial bodies—planets, suns, even entire galaxies—produce magnetic fields, affecting such cosmic processes as the ...
ADC conjugation, redefined. Explore a rapid 3-hour workflow that delivers precise, controlled antibody-drug conjugates for ...
This study presents a comprehensive approach for assessing multiple quality attributes of antibody-oligonucleotide conjugates ...
Google launched four official and confirmed algorithmic updates in 2025, three core updates and one spam update. This is in comparison to last year, in 2024, where we had seven confirmed updates, then ...
Threads is testing a new way for users to manipulate their own recommendation algorithm. The feature, aptly called "Dear algo," allows users to post a message to the algorithm with the note "dear algo ...
GPU-accelerated linear solvers based on the conjugate gradient (CG) method, supporting NVIDIA and AMD GPUs with GPU-aware MPI, NCCL, RCCL or NVSHMEM ...
The White House has answered what had been one of the major outstanding questions regarding its pending deal to transfer TikTok’s US operations to a majority American ownership group: Under the ...
Rust + WASM sublinear-time solver for asymmetric diagonally dominant systems. Exposes Neumann series, push, and hybrid random-walk algorithms with npm/npx CLI and Flow-Nexus HTTP streaming for swarm ...
Abstract: Modeling the relationships that may connect optimal parameter vectors is essential for the performance of parameter estimation methods in distributed networks. In this paper, we consider a ...
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