← Authors

Chaoyang He

11 papers · 2020–2024 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) πŸ—ΊοΈ Taxonomy Completionist (31) 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸ‘₯ Mega-Team (24) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (5) πŸ’Ž Century Club (11) πŸ—ƒοΈ Keyword Collector (59)

Conferences

NIPS (4) AAAI (2) EMNLP (2) CVPR (1) ICML (1) NAACL (1)

Top co-authors

Salman Avestimehr (8) Mahdi Soltanolkotabi (3) Zijian Hu (2) Murali Annavaram (2) Alay Dilipbhai Shah (2) Tong Zhang (2) Han Jin (2) Zhaozhuo Xu (2) Dimitris Stripelis (2) Yuhang Yao (2)

Keywords

federated learning (5) non-iid datum (2) model compression (2) edge computing (2) data-free learning (1) hyperparameter optimization (1) text classification (1) neural architecture search (1) multi-task learning (1) sequence tagging (1) question answering (1) efficient inference (1) query efficiency (1) neural network optimization (1) gradient descent (1) model serving (1) resource allocation (1) distributed training (1) expert selection (1) knowledge distillation (1)

Papers

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference EMNLP 2024
ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency EMNLP 2024
FairFed: Enabling Group Fairness in Federated Learning AAAI 2023
A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks NIPS 2023
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks NAACL 2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings NIPS 2022
SpreadGNN: Decentralized Multi-Task Federated Learning for Graph Neural Networks on Molecular Data AAAI 2022
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge NIPS 2021
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models ICML 2021
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation CVPR 2020
Group Knowledge Transfer: Federated Learning of Large CNNs at the Edge NIPS 2020