Tony Quek

4 papers · 2023–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11)

Venues

ACL (2) NeurIPS (2)

Top co-authors

Zihan Chen (2) Kai Fong Ernest Chong (2) Ziyang Wang (1) Zhaoyang Zhang (1) Howard Hao Yang (1) Xiaotian Zhang (1) Zuozhu Liu (1) Howard Hua Yang (1) Huaiyu Dai (1) Joey Tianyi Zhou (1)

Research topics

Artificial Intelligence (4) Machine Learning (3) Application Areas (3) Learning Paradigms (3) Deep Learning (2) Core AI (2) Learning Types (2) Optimization & Theory (2) Natural Language Processing (1) Resources & Methods (1)

Keywords

federated learning (2) knowledge distillation (1) preference optimization (1) language model alignment (1) diffusion model (1) data heterogeneity (1) language model (1) communication compression (1) zeroth-order optimization (1) inference-time alignment (1) distributed mean estimation (1) privacy amplification (1) personalized federated learning (1) human alignment (1) large language model (1) gradient reconstruction (1) spectral distillation (1) model spectrum (1) f-differential privacy (1) personalized perturbation (1)

Papers

Global Adaptive Momentum Meets Local Personalized Perturbation: Efficient Federated LLM Fine-Tuning with Zeroth-Order Gradients ACL 2026 DiffPO: Diffusion-styled Preference Optimization for Inference Time Alignment of Large Language Models ACL 2025 Breaking the Communication-Privacy-Accuracy Tradeoff with f-Differential Privacy NeurIPS 2023 Spectral Co-Distillation for Personalized Federated Learning NeurIPS 2023