5 papers
Beyond Uniform Compression: Budgeted Transmission Allocation for Extreme Federated Learning
Pengfei Li, Mohammad Khalil
Federated learning faces severe communication bottlenecks when clients upload high-dimensional model updates. Existing methods often compress these updates uniformly across all lay…
PEG-Tab: Sampling-Time Record Repair and Release Control for Tabular Synthesis
Pengfei Li, QinYi Liu, Mohammad Khalil
Pretrained tabular generators can reproduce training records even when aggregate utility remains high. When retraining is unavailable or too costly, sampling and release are the re…
MIND: Marginal-Invariant Neural Dependency Diffusion for Mixed-Type Tabular Generation
Pengfei Li, Mohammad Khalil
This paper proposes MIND, a marginal-invariant neural dependency diffusion model for mixed-type tabular data. MIND does not directly learn the joint distribution in the original he…
Fed-CausalDiff: Decoupled Synchronization for Federated Do-Simulation and Policy Evaluation
Pengfei Li, Mohammad Khalil
While federated learning enables collaborative modelling on decentralised data, standard methods merely fit historical observations. This purely observational approach is fundament…
Dual-comb mode-locked Yb:CALGO laser based on cavity-shared configuration with separated end mirrors
Ruixin Tang, Ziyu Luo, Pengfei Li +5
Dual-comb spectroscopy typically requires the utilization of two independent and phase-locked femtosecond lasers, resulting in a complex and expensive system that hinders its indus…