Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks

Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 25 Feb 2026] Title:Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless

A Survey on Federated Fine-tuning of Large Language Models

A Survey on Federated Fine-tuning of Large Language Models

• Computer Science > 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

FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessment

FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessment

• Computer Science > Machine Learning [Submitted on 22 Feb 2026] Title:FedAvg-Based CTMC Hazard Model for Federated Bridge Deterioration Assessment View PDF HTML (experimental)Abst

Research & Labs · February 25, 2026 (updated February 25, 2026) · 2 min · 265 words
Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning

Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 24 Feb 2026] Title:Heterogeneity-Aware Client Selection Methodology For Efficient Federated Learning

Logs Management Evolved: Introducing Federated Logs and No-Code Parsing

Logs Management Evolved: Introducing Federated Logs and No-Code Parsing

• When a production incident hits, the first question is almost always: what do the logs say? • Too often, however, you can’t query those logs because they are in remote, local sto

A federated graph learning method to realize multi-party collaboration for molecular discovery

A federated graph learning method to realize multi-party collaboration for molecular discovery

• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •

Research & Labs · February 24, 2026 (updated February 24, 2026) · 2 min · 256 words
A federated graph learning method to realize multi-party collaboration for molecular discovery

A federated graph learning method to realize multi-party collaboration for molecular discovery

• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •

Research & Labs · February 22, 2026 (updated February 23, 2026) · 2 min · 251 words
Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning

Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning

• Computer Science > Machine Learning [Submitted on 19 Feb 2026] Title:Catastrophic Forgetting Resilient One-Shot Incremental Federated Learning View PDF HTML (experimental)Abstrac

Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning

Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning

• Computer Science > Machine Learning [Submitted on 19 Feb 2026] Title:Guarding the Middle: Protecting Intermediate Representations in Federated Split Learning View PDF HTML (exper

Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation

Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation

• Computer Science > Distributed, Parallel, and Cluster Computing [Submitted on 18 Feb 2026] Title:Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation View PDF HT

Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models

Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models

• Computer Science > 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

High-Fidelity Network Management for Federated AI-as-a-Service: Cross-Domain Orchestration

High-Fidelity Network Management for Federated AI-as-a-Service: Cross-Domain Orchestration

• Computer Science > 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

SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data

SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data

• Computer Science > Cryptography and Security [Submitted on 18 Feb 2026] Title:SRFed: Mitigating Poisoning Attacks in Privacy-Preserving Federated Learning with Heterogeneous Data

VerifiableFL: Verifiable Claims for Federated Learning using Exclaves

VerifiableFL: Verifiable Claims for Federated Learning using Exclaves

• Computer Science > Cryptography and Security [Submitted on 13 Dec 2024 (v1), last revised 17 Feb 2026 (this version, v4)] Title:VerifiableFL: Verifiable Claims for Federated Lear

A federated graph learning method to realize multi-party collaboration for molecular discovery

A federated graph learning method to realize multi-party collaboration for molecular discovery

• Abstract Optimizing molecular resource utilization for molecular discovery requires collaborative efforts across research institutions and organizations to accelerate progress. •

Research · February 19, 2026 (updated February 19, 2026) · 2 min · 234 words
Faster Rates For Federated Variational Inequalities

Faster Rates For Federated Variational Inequalities

• Faster Rates For Federated Variational Inequalities Faster Rates For Federated Variational Inequalities AuthorsGuanghui Wangâ , Satyen Kale View publication Copy Bibtex In this