Abstract: Federated Learning (FL) is a decentralized learning framework that facilitates learning from large-scale datasets while keeping raw data locally. It dismantles data silos and addresses ...
Institutions like SRCC, LSR, and Hansraj are now championing undergraduate research, AI-assisted learning, and real-world ...
Abstract: Adversarial examples represent a serious threat for deep neural networks in several application domains and a huge amount of work has been produced to investigate them and mitigate their ...
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