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Packet Storm News
Packet Storm News
added 2026/05/06 12:0 a.m.14 views

AoI-Guided Client Selection for Robust and Timely Federated Intrusion Detection in Cloud-Edge Security Analytics

Federated learning FL is attractive for cloud-edge intrusion detection because it enables collaborative training over distributed telemetry without centralizing raw logs. In production security analytics pipelines, however, only a subset of clients participates in each round, and heterogeneous...

5.8AI score
Exploits0
Packet Storm News
Packet Storm News
added 2025/06/21 12:0 a.m.6 views

AdRo-FL: Informed and Secure Client Selection for Federated Learning in the Presence of Adversarial Aggregator

Whitepaper called AdRo-FL: Informed And Secure Client Selection For Federated Learning In The Presence Of Adversarial Aggregator...

7AI score
Exploits0
Packet Storm News
Packet Storm News
added 2025/06/04 12:0 a.m.5 views

QA-HFL: Quality-Aware Hierarchical Federated Learning for Resource-Constrained Mobile Devices with Heterogeneous Image Quality

This paper introduces QA-HFL, a quality-aware hierarchical federated learning framework that efficiently handles heterogeneous image quality across resource-constrained mobile devices. Our approach trains specialized local models for different image quality levels and aggregates their features...

6.7AI score
Exploits0
Packet Storm News
Packet Storm News
added 2025/05/19 12:0 a.m.2 views

FLTG: Byzantine-Robust Federated Learning Via Angle-Based Defense and Non-IID-Aware Weighting

Byzantine attacks during model aggregation in Federated Learning FL threaten training integrity by manipulating malicious clients' updates. Existing methods struggle with limited robustness under high malicious client ratios and sensitivity to non-i.i.d. data, leading to degraded accuracy. To...

6.8AI score
Exploits0
Packet Storm News
Packet Storm News
added 2025/05/15 12:0 a.m.4 views

Random Client Selection on Contrastive Federated Learning for Tabular Data

Vertical Federated Learning VFL has revolutionised collaborative machine learning by enabling privacy-preserving model training across multiple parties. However, it remains vulnerable to information leakage during intermediate computation sharing. While Contrastive Federated Learning CFL was...

6.8AI score
Exploits0
Microsoft Security Update
Microsoft Security Update
added 1970/01/01 12:0 a.m.10 views

Check if client has selected the SurfDev_AB8 branch

Evaluates to true if the RegKey value for BranchName is SurfDevAB8...

1.8AI score
Exploits0
Microsoft Security Update
Microsoft Security Update
added 1970/01/01 12:0 a.m.9 views

Check if client has selected the SurfDev_AB7 branch

Evaluates to true if the RegKey value for BranchName is SurfDevAB7...

1.8AI score
Exploits0
Microsoft Security Update
Microsoft Security Update
added 1970/01/01 12:0 a.m.4 views

Check if client has selected the SurfDev_AB6 branch

Evaluates to true if the RegKey value for BranchName is SurfDevAB6...

7.3AI score
Exploits0
Microsoft Security Update
Microsoft Security Update
added 1970/01/01 12:0 a.m.11 views

Check if client has selected the SurfDev_AB9 branch

Evaluates to true if the RegKey value for BranchName is SurfDevAB9...

1.8AI score
Exploits0
Microsoft Security Update
Microsoft Security Update
added 1970/01/01 12:0 a.m.15 views

Check if client has selected the SurfDev_Surface_PLE_CoDev

Evaluates to true if the RegKey value for BranchName is SurfacePLECoDev...

7.3AI score
Exploits0
Microsoft Security Update
Microsoft Security Update
added 1970/01/01 12:0 a.m.8 views

Check if client has selected the SurfDev_PLE_CB-1 branch

Evaluates to true if the RegKey value for BranchName is SurfDevPLECB-1...

1.8AI score
Exploits0
Microsoft Security Update
Microsoft Security Update
added 1970/01/01 12:0 a.m.12 views

Check if client has selected the SurfDev_PLE_CB-2 branch

Evaluates to true if the RegKey value for BranchName is SurfDevPLECB-2...

1.8AI score
Exploits0
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