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Abhishek Singh

Microsoft

Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy

May 16, 2024
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DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images

Mar 28, 2024
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Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts

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Mar 19, 2024
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CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models

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Feb 27, 2024
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EIGEN: Expert-Informed Joint Learning Aggregation for High-Fidelity Information Extraction from Document Images

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Nov 23, 2023
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Scalable Collaborative Learning via Representation Sharing

Dec 13, 2022
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Learning to Censor by Noisy Sampling

Mar 23, 2022
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Decouple-and-Sample: Protecting sensitive information in task agnostic data release

Mar 17, 2022
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Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI Workloads

Feb 21, 2022
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AdaSplit: Adaptive Trade-offs for Resource-constrained Distributed Deep Learning

Dec 02, 2021
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