Murali Annavaram
14 papers · 2018–2026 · 6 venues · across top CS/AI venues
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differential privacy
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Papers
EQUIP: EQUivariant preserving In-Place updates for Efficient Token Pruning
ACL 2026
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
ACL 2025
KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial Recomputation
ACL 2025
Mind the Dialect: NLP Advancements Uncover Fairness Disparities for Arabic Users in Recommendation Systems
EMNLP 2025
MobiZO: Enabling Efficient LLM Fine-Tuning at the Edge via Inference Engines
EMNLP 2025
On Using Arabic Language Dialects in Recommendation Systems
NAACL 2025
Differentially Private Knowledge Distillation via Synthetic Text Generation
ACL 2024
Differentially Private Next-Token Prediction of Large Language Models
NAACL 2024
Ethos: Rectifying Language Models in Orthogonal Parameter Space
NAACL 2024
Check-N-Run: a Checkpointing System for Training Deep Learning Recommendation Models
NSDI 2022
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data
AAAI 2022
StATIK: Structure and Text for Inductive Knowledge Graph Completion
NAACL 2022
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge
NeurIPS 2020
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training
NeurIPS 2018