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New preprints detail processor security tool and federated learning efficiency

A new preprint on arXiv introduces Malcostume, a tool designed to automatically extract leakage contracts from black-box x86 and ARM processors. Separately, another unreviewed preprint proposes a novel two-layer secret sharing protocol for federated learning, which significantly reduces communication overhead by 100x with a large number of users and eliminates server data forwarding. AI

RANK_REASON The cluster contains two distinct research preprints, one on processor security and another on federated learning efficiency.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New preprints detail processor security tool and federated learning efficiency

COVERAGE [2]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    malcos auto-extracts CPU leakage contracts for x86 and ARM New arXiv preprint introduces malcos, a tool that auto-extracts leakage contracts from black-box x86

    malcos auto-extracts CPU leakage contracts for x86 and ARM New arXiv preprint introduces malcos, a tool that auto-extracts leakage contracts from black-box x86 and ARM CPUs, cutting manual security analysis. https://www. notatechguy.com/malcos-auto-ex tracts-cpu-leakage-contracts…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Federated learning protocol cuts communication 100x with one server Unreviewed preprint proposes two-layer secret sharing for federated learning, cutting commun

    Federated learning protocol cuts communication 100x with one server Unreviewed preprint proposes two-layer secret sharing for federated learning, cutting communication 100x at 100 users and removing server data forwarding. https://www. notatechguy.com/federated-lear ning-protocol…