1 citations · 1 across the 6 of their papers we have counts for
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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…
SpectralKrum: A Spectral-Geometric Defense Against Byzantine Attacks in Federated Learning
Aditya Tripathi, Karan Sharma, Rahul Mishra +1
Federated Learning (FL) distributes model training across clients who retain their data locally, but this architecture exposes a fundamental vulnerability: Byzantine clients can in…
FedSiKD: Clients Similarity and Knowledge Distillation: Addressing Non-i.i.d. and Constraints in Federated Learning
Yousef Alsenani, Rahul Mishra, Khaled R. Ahmed +1
In recent years, federated learning (FL) has emerged as a promising technique for training machine learning models in a decentralized manner while also preserving data privacy. The…