Mouse Control using a Web Camera based on Colour Detection. - Abhik Banerjee; Abhirup Ghosh; Koustuvmoni Bharadwaj; Hemanta Saikia (CoRR, 2014)

Finding Periodic Discrete Events in Noisy Streams. - Abhirup Ghosh; Christopher Lucas 001; Rik Sarkar (CIKM, 2017)

Topological signatures for fast mobility analysis. - Abhirup Ghosh; Benedek Rozemberczki; Subramanian Ramamoorthy; Rik Sarkar (SIGSPATIAL/GIS, 2018)

Machine learning and privacy preserving algorithms for spatial and temporal sensing. - Abhirup Ghosh (2019)

Differentially Private Range Counting in Planar Graphs for Spatial Sensing. - Abhirup Ghosh; Jiaxin Ding 001; Rik Sarkar; Jie Gao 001 (INFOCOM, 2020)

Targeted Interventions Reduce the Spread of COVID-19: Simulation Study on Real Mobility Data. - Haotian Wang 002; Abhirup Ghosh; Jiaxin Ding 001; Rik Sarkar; Jie Gao 001 (CoRR, 2020)

Mobility-based Individual POI Recommendation to Control the COVID-19 Spread. - Abhirup Ghosh; Tong Xia (IEEE BigData, 2021)

HYPO: skew-resilient partitioning for trajectory datasets. - Giannis Evagorou; Abhirup Ghosh; Thomas Heinis (LocalRec@SIGSPATIAL, 2021)

Publishing Asynchronous Event Times with Pufferfish Privacy. - Jiaxin Ding 001; Abhirup Ghosh; Rik Sarkar; Jie Gao 001 (DCOSS, 2022)

Investigating Domain-agnostic Performance in Activity Recognition using Accelerometer Data. - Apinan Hasthanasombat; Abhirup Ghosh; Dimitris Spathis; Cecilia Mascolo (UbiComp/ISWC Adjunct, 2022)

Continual and Sliding Window Release for Private Empirical Risk Minimization. - Lauren Watson; Abhirup Ghosh; Benedek Rozemberczki; Rik Sarkar (CoRR, 2022)

Cross-Device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection. - Tong Xia; Jing Han 010; Abhirup Ghosh; Cecilia Mascolo (ICASSP, 2023)

Modeling with Homophily Driven Heterogeneous Data in Gossip Learning. - Abhirup Ghosh; Cecilia Mascolo (IJCAI, 2023)

FLea: Improving federated learning on scarce and label-skewed data via privacy-preserving feature augmentation. - Tong Xia; Abhirup Ghosh; Cecilia Mascolo (CoRR, 2023)

In-Network Approximate and Efficient Spatiotemporal Range Queries on Moving Objects. - Guang Yang 044; Abhirup Ghosh; Liang Liang; Thomas Heinis (EDBT, 2024)

FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature Augmentation. - Tong Xia; Abhirup Ghosh; Xinchi Qiu; Cecilia Mascolo (KDD, 2024)

Uncertainty-Aware Personalized Federated Learning for Realistic Healthcare Applications. - Yuwei Zhang; Tong Xia; Abhirup Ghosh; Cecilia Mascolo (ML4H@NeurIPS, 2024)

Benchmarking Federated Machine Unlearning methods for Tabular Data. - Chenguang Xiao; Abhirup Ghosh; Han Wu; Shuo Wang; Diederick van Thiel (CoRR, 2025)

BoTTA: Benchmarking on-device Test Time Adaptation. - Michal Danilowski; Soumyajit Chatterjee; Abhirup Ghosh (CoRR, 2025)

E-BATS: Efficient Backpropagation-Free Test-Time Adaptation for Speech Foundation Models. - Jiaheng Dong; Hong Jia; Soumyajit Chatterjee; Abhirup Ghosh; James Bailey; Ting Dang (CoRR, 2025)