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    <title>Federated on Tenu Tech Brief</title>
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    <description>Recent content in Federated on Tenu Tech Brief</description>
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      <title>Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks</title>
      <link>https://cluster-site.onrender.com/posts/energy-efficient-federated-learning-with-hyperdimensional-computing-over-wireless-communication-networks/</link>
      <pubDate>Thu, 26 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/energy-efficient-federated-learning-with-hyperdimensional-computing-over-wireless-communication-networks/</guid>
      <description>• Computer Science &amp;gt; Distributed, Parallel, and Cluster Computing [Submitted on 25 Feb 2026] Title:Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless</description>
    </item>
    <item>
      <title>A Survey on Federated Fine-tuning of Large Language Models</title>
      <link>https://cluster-site.onrender.com/posts/a-survey-on-federated-fine-tuning-of-large-language-models/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/a-survey-on-federated-fine-tuning-of-large-language-models/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 15 Mar 2025 (v1), last revised 24 Feb 2026 (this version, v3)] Title:A Survey on Federated Fine-tuning of Large Language Models</description>
    </item>
    <item>
      <title>FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessment</title>
      <link>https://cluster-site.onrender.com/posts/fedavg-based-ctmc-hazard-model-for-federated-bridge-deterioration-assessment/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/fedavg-based-ctmc-hazard-model-for-federated-bridge-deterioration-assessment/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 22 Feb 2026] Title:FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessment View PDF HTML (experimental)Abst</description>
    </item>
    <item>
      <title>Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning</title>
      <link>https://cluster-site.onrender.com/posts/heterogeneity-aware-client-selection-methodology-for-efficient-federated-learning/</link>
      <pubDate>Wed, 25 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/heterogeneity-aware-client-selection-methodology-for-efficient-federated-learning/</guid>
      <description>• Computer Science &amp;gt; Distributed, Parallel, and Cluster Computing [Submitted on 24 Feb 2026] Title:Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning</description>
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    <item>
      <title>Logs Management Evolved: Introducing Federated Logs and No-Code Parsing</title>
      <link>https://cluster-site.onrender.com/posts/logs-management-evolved-introducing-federated-logs-and-no-code-parsing/</link>
      <pubDate>Tue, 24 Feb 2026 12:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/logs-management-evolved-introducing-federated-logs-and-no-code-parsing/</guid>
      <description>• When a production incident hits, the first question is almost always: what do the logs say? • Too often, however, you can&amp;rsquo;t query those logs because they are in remote, local sto</description>
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    <item>
      <title>A federated graph learning method to realize multi-party collaboration for molecular discovery</title>
      <link>https://cluster-site.onrender.com/posts/a-federated-graph-learning-method-to-realize-multi-party-collaboration-for-molecular-discovery/</link>
      <pubDate>Tue, 24 Feb 2026 00:35:28 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/a-federated-graph-learning-method-to-realize-multi-party-collaboration-for-molecular-discovery/</guid>
      <description>• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •</description>
    </item>
    <item>
      <title>A federated graph learning method to realize multi-party collaboration for molecular discovery</title>
      <link>https://cluster-site.onrender.com/posts/a-federated-graph-learning-method-to-realize-multi-party-collaboration-for-molecular-discovery/</link>
      <pubDate>Sun, 22 Feb 2026 00:35:41 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/a-federated-graph-learning-method-to-realize-multi-party-collaboration-for-molecular-discovery/</guid>
      <description>• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •</description>
    </item>
    <item>
      <title>Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning</title>
      <link>https://cluster-site.onrender.com/posts/catastrophic-forgetting-resilient-one-shot-incremental-federated-learning/</link>
      <pubDate>Fri, 20 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/catastrophic-forgetting-resilient-one-shot-incremental-federated-learning/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 19 Feb 2026] Title:Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning View PDF HTML (experimental)Abstrac</description>
    </item>
    <item>
      <title>Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning</title>
      <link>https://cluster-site.onrender.com/posts/guarding-the-middle-protecting-intermediate-representations-in-federated-split-learning/</link>
      <pubDate>Fri, 20 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/guarding-the-middle-protecting-intermediate-representations-in-federated-split-learning/</guid>
      <description>• Computer Science &amp;gt; Machine Learning [Submitted on 19 Feb 2026] Title:Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning View PDF HTML (exper</description>
    </item>
    <item>
      <title>Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation</title>
      <link>https://cluster-site.onrender.com/posts/heterogeneous-federated-fine-tuning-with-parallel-one-rank-adaptation/</link>
      <pubDate>Fri, 20 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/heterogeneous-federated-fine-tuning-with-parallel-one-rank-adaptation/</guid>
      <description>• Computer Science &amp;gt; Distributed, Parallel, and Cluster Computing [Submitted on 18 Feb 2026] Title:Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation View PDF HT</description>
    </item>
    <item>
      <title>Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models</title>
      <link>https://cluster-site.onrender.com/posts/adaptive-rank-allocation-for-federated-parameter-efficient-fine-tuning-of-language-models/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/adaptive-rank-allocation-for-federated-parameter-efficient-fine-tuning-of-language-models/</guid>
      <description>• Computer Science &amp;gt; Distributed, Parallel, and Cluster Computing [Submitted on 24 Jan 2025 (v1), last revised 18 Feb 2026 (this version, v4)] Title:Adaptive Rank Allocation for Fe</description>
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    <item>
      <title>High-Fidelity Network Management for Federated AI-as-a-Service: Cross-Domain Orchestration</title>
      <link>https://cluster-site.onrender.com/posts/high-fidelity-network-management-for-federated-ai-as-a-service-cross-domain-orchestration/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/high-fidelity-network-management-for-federated-ai-as-a-service-cross-domain-orchestration/</guid>
      <description>• Computer Science &amp;gt; Networking and Internet Architecture [Submitted on 17 Feb 2026 (v1), last revised 18 Feb 2026 (this version, v2)] Title:High-Fidelity Network Management for Fe</description>
    </item>
    <item>
      <title>SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data</title>
      <link>https://cluster-site.onrender.com/posts/srfed-mitigating-poisoning-attacks-in-privacy-preserving-federated-learning-with-heterogeneous-data/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/srfed-mitigating-poisoning-attacks-in-privacy-preserving-federated-learning-with-heterogeneous-data/</guid>
      <description>• Computer Science &amp;gt; Cryptography and Security [Submitted on 18 Feb 2026] Title:SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data</description>
    </item>
    <item>
      <title>VerifiableFL: Verifiable Claims for Federated Learning using Exclaves</title>
      <link>https://cluster-site.onrender.com/posts/verifiablefl-verifiable-claims-for-federated-learning-using-exclaves/</link>
      <pubDate>Thu, 19 Feb 2026 05:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/verifiablefl-verifiable-claims-for-federated-learning-using-exclaves/</guid>
      <description>• Computer Science &amp;gt; Cryptography and Security [Submitted on 13 Dec 2024 (v1), last revised 17 Feb 2026 (this version, v4)] Title:VerifiableFL: Verifiable Claims for Federated Lear</description>
    </item>
    <item>
      <title>A federated graph learning method to realize multi-party collaboration for molecular discovery</title>
      <link>https://cluster-site.onrender.com/posts/a-federated-graph-learning-method-to-realize-multi-party-collaboration-for-molecular-discovery/</link>
      <pubDate>Thu, 19 Feb 2026 01:48:32 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/a-federated-graph-learning-method-to-realize-multi-party-collaboration-for-molecular-discovery/</guid>
      <description>• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •</description>
    </item>
    <item>
      <title>Faster Rates For Federated Variational Inequalities</title>
      <link>https://cluster-site.onrender.com/posts/faster-rates-for-federated-variational-inequalities/</link>
      <pubDate>Fri, 13 Feb 2026 00:00:00 +0000</pubDate>
      <guid>https://cluster-site.onrender.com/posts/faster-rates-for-federated-variational-inequalities/</guid>
      <description>• Faster Rates For Federated Variational Inequalities Faster Rates For Federated Variational Inequalities AuthorsGuanghui Wangâ , Satyen Kale View publication Copy Bibtex In this</description>
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