·
DataBubble
  • Home
  • Models
  • News
  • Compare
  • Boards
  • Pricing
  • About
  • Newsletter
  • Methodology
  • Contact
Latest
The most interesting startups right now want to get you off your phone1h◆This is your laptop… on AI1h◆New York lawmakers pass one-year ban on new data centers3h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs3h◆The latest AI news we announced in May 20263h◆This AI startup says it can tell if a script will make a hit film4h◆AirTrunk commits $30B to build 5GW of AI data centers in India5h◆The Meta hack shows there’s more to AI security than Mythos9h◆Mira Murati steps back into the spotlight, carefully13h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning14h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning14h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models14h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents14h◆Why Muon Outperforms Adam: A Curvature Perspective14h◆Vision Hopfield Memory Networks14h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies14h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment14h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations14h◆HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data14h◆q0: Primitives for Hyper-Epoch Pretraining14h◆The most interesting startups right now want to get you off your phone1h◆This is your laptop… on AI1h◆New York lawmakers pass one-year ban on new data centers3h◆The token bill comes due: Inside the industry scramble to manage AI’s runaway costs3h◆The latest AI news we announced in May 20263h◆This AI startup says it can tell if a script will make a hit film4h◆AirTrunk commits $30B to build 5GW of AI data centers in India5h◆The Meta hack shows there’s more to AI security than Mythos9h◆Mira Murati steps back into the spotlight, carefully13h◆SFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning14h◆Optical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning14h◆Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models14h◆Temporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents14h◆Why Muon Outperforms Adam: A Curvature Perspective14h◆Vision Hopfield Memory Networks14h◆Provably Auditable and Safe LLM Agents from Human-Authored Ontologies14h◆FlexRank: Nested Low-Rank Knowledge Decomposition for Adaptive Model Deployment14h◆Stable Deep Reinforcement Learning via Isotropic Gaussian Representations14h◆HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data14h◆q0: Primitives for Hyper-Epoch Pretraining14h◆
News/Collaborative Threshold Watermarking
arxiv
PublishedMay 29, 2026 at 4:00 AM
—neutral

Collaborative Threshold Watermarking

Source
arxiv.orgfull article ↗
Read on arxiv→
Publisher summary· verbatim

arXiv:2602.10765v2 Announce Type: replace Abstract: In federated learning (FL), $K$ clients jointly train a model without sharing raw data. Because each participant invests data and compute, clients need mechanisms to later prove the provenance of a jointly trained model. Model watermarking embeds a

Stay posted· Newsletter

A 5-min weekly brief — top movers, price watch, story of the week.

// no spam · unsubscribe one-click · free forever

Discussion
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#federated-learning#model-watermarking#machine-learning

No replies yet. Be first.

Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#federated-learning#model-watermarking#machine-learning

Related coverage

More from ARXIV
arxivSFMambaNet: Spectral-Frequency Enhanced Selective State Space Model for Correspondence Pruning14harxivOptical-Guided Neural Collapse for SAR Few-Shot Class Incremental Learning14harxivDynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models14harxivTemporal Order Matters for Agentic Memory: Segment Trees for Long-Horizon Agents14h
The Bubble Brief
WEEKLY

Read federated-learning insights every Tuesday — top movers, new releases, story of the week.

// no spam · unsubscribe one-click · free forever

Originally published on arxiv ↗
HomeModelsNews