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20242026
most citedFedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning

1 citations · 1 across the 6 of their papers we have counts for

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cs.LG2026

ChainLearn: A Blockchain-Based Capacity-Aware Framework for Federated Ensemble Learning

Karan Sharma, Aditya Tripathi, Rahul Mishra +1

Federated learning is used in medical imaging where privacy prohibits centralizing data. Standard federated algorithms assume homogeneous hardware, identical architectures, and cen…

cs.CR2026

Shadow Unlearning: A Neuro-Semantic Approach to Fidelity-Preserving Faceless Forgetting in LLMs

Dinesh Srivasthav P, Ashok Urlana, Rahul Mishra +2

Machine unlearning aims to selectively remove the influence of specific training samples to satisfy privacy regulations such as the GDPR's 'Right to be Forgotten'. However, many ex…