Parameterizing Federated Continual Learning for Reproducible Research. - Bart Cox; Jeroen Galjaard; Aditya Shankar; Jérémie Decouchant; Lydia Y. Chen (PKDD/ECML Workshops (5), 2023)

S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. - Aditya Shankar; Hans Brouwer; Rihan Hai 001; Lydia Y. Chen (ICDE, 2024)

SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models. - Aditya Shankar; Hans Brouwer; Rihan Hai 001; Lydia Y. Chen (CoRR, 2024)

Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning. - Aditya Shankar; Lydia Y. Chen; Jérémie Decouchant; Dimitra Gkorou; Rihan Hai 001 (CoRR, 2024)

Federated Time Series Generation on Feature and Temporally Misaligned Data. - Chenrui Fan; Zhi Wen Soi; Aditya Shankar; Abele Malan; Lydia Y. Chen (CoRR, 2024)

FRN: Fusion and recalibration network for low-light image enhancement. - Kavinder Singh; Ashutosh Pandey; Akshat Agarwal; Mohit Kumar Agarwal; Aditya Shankar; Anil Singh Parihar (Multim. Tools Appl., 2024)

Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning. - Aditya Shankar; Jérémie Decouchant; Dimitra Gkorou; Rihan Hai 001; Lydia Y. Chen (ARES (1), 2025)

WaveStitch: Flexible and Fast Conditional Time Series Generation with Diffusion Models. - Aditya Shankar; Lydia Y. Chen; Arie van Deursen; Rihan Hai 001 (CoRR, 2025)

TimeWak: Temporal Chained-Hashing Watermark for Time Series Data. - Zhi Wen Soi; Chaoyi Zhu; Fouad Abiad; Aditya Shankar; Jeroen M. Galjaard; Huijuan Wang; Lydia Y. Chen (CoRR, 2025)