Lalana Kagal

Lalana Kagal

Massachusetts Institute of Technology

H-index: 43

North America-United States

About Lalana Kagal

Lalana Kagal, With an exceptional h-index of 43 and a recent h-index of 18 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of artificial intelligence, privacy, trust, knowledge graphs.

His recent articles reflect a diverse array of research interests and contributions to the field:

Tim Berners-Lee’s Research at the Decentralized Information Group at MIT

Transactions on Graph Data and Knowledge

Fedltn: Federated learning for sparse and personalized lottery ticket networks

Development of AI-enabled apps by patients and domain experts using the punya platform: A case study for diabetes

Explainable clinical decision support: towards patient-facing explanations for education and long-term behavior change

BlockFLow: Decentralized, privacy-preserving, and accountable federated machine learning

Overcoming challenges of synthetic data generation

Decentralized systems

Lalana Kagal Information

University

Position

___

Citations(all)

9917

Citations(since 2020)

3795

Cited By

7424

hIndex(all)

43

hIndex(since 2020)

18

i10Index(all)

81

i10Index(since 2020)

32

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Lalana Kagal Skills & Research Interests

artificial intelligence

privacy

trust

knowledge graphs

Top articles of Lalana Kagal

Title

Journal

Author(s)

Publication Date

Tim Berners-Lee’s Research at the Decentralized Information Group at MIT

Oshani Seneviratne

Amy van der Hiel

Lalana Kagal

2023/7/7

Transactions on Graph Data and Knowledge

Aidan Hogan

Ian Horrocks

Andreas Hotho

Lalana Kagal

2023

Fedltn: Federated learning for sparse and personalized lottery ticket networks

Vaikkunth Mugunthan

Eric Lin

Vignesh Gokul

Christian Lau

Lalana Kagal

...

2022/10/23

Development of AI-enabled apps by patients and domain experts using the punya platform: A case study for diabetes

Evan Patton

William Van Woensel

Oshani Seneviratne

Giuseppe Loseto

Floriano Scioscia

...

2022/6/14

Explainable clinical decision support: towards patient-facing explanations for education and long-term behavior change

William Van Woensel

Floriano Scioscia

Giuseppe Loseto

Oshani Seneviratne

Evan Patton

...

2022/6/14

BlockFLow: Decentralized, privacy-preserving, and accountable federated machine learning

Vaikkunth Mugunthan

Ravi Rahman

Lalana Kagal

2022

Overcoming challenges of synthetic data generation

Kevin Fang

Vaikkunth Mugunthan

Vayd Ramkumar

Lalana Kagal

2022/12/17

Decentralized systems

IEEE Internet Computing

Samuel H Christie

Lalana Kagal

Alessandro Ricci

Munindar P Singh

2022/11/1

Rapid Prototyping of Mobile Apps for Clinical Research using Semantic Web Technologies.

Oshani Seneviratne

William Van Woensel

Giuseppe Loseto

Floriano Scioscia

Evan W Patton

...

2021

Mobile App Development for the Semantic Web of Things with Punya.

Giuseppe Loseto

Evan W Patton

Oshani Seneviratne

William Van Woensel

Floriano Scioscia

...

2021/10

The Punya platform: building mobile research apps with linked data and semantic features

Evan W Patton

William Van Woensel

Oshani Seneviratne

Giuseppe Loseto

Floriano Scioscia

...

2021

Multi-vfl: A vertical federated learning system for multiple data and label owners

arXiv preprint arXiv:2106.05468

Vaikkunth Mugunthan

Pawan Goyal

Lalana Kagal

2021/6/10

Bias-Free FedGAN.

CoRR

Vaikkunth Mugunthan

Lalana Kagal

Vignesh Gokul

Sholomo Dubnov

2021

Dpd-infogan: Differentially private distributed infogan

Vaikkunth Mugunthan

Vignesh Gokul

Lalana Kagal

Shlomo Dubnov

2021/4/26

Bias-free fedgan: A federated approach to generate bias-free datasets

arXiv preprint arXiv:2103.09876

Vaikkunth Mugunthan

Vignesh Gokul

Lalana Kagal

Shlomo Dubnov

2021/3/17

Building Mobile Personal Health Knowledge Graphs using Punya

Evan Patton

Oshani Seneviratne

Floriano Scioscia

Giuseppe Loseto

Lalana Kagal

2021

Explaining multimodal errors in autonomous vehicles

Leilani H Gilpin

Vishnu Penubarthi

Lalana Kagal

2021/10/6

Proceedings of the Journal Track co-located with the 18th International Semantic Web Conference {(ISWC} 2019), Auckland, New Zealand, October 26, 2019

Claudia D'Amato

Lalana Kagal

2020

Privacyfl: A simulator for privacy-preserving and secure federated learning

Vaikkunth Mugunthan

Anton Peraire-Bueno

Lalana Kagal

2020

Utility-Enhancing Flexible Mechanisms for Differential Privacy

Vaikkunth Mugunthan

Wanyi Xiao

Lalana Kagal

2020/9/16

See List of Professors in Lalana Kagal University(Massachusetts Institute of Technology)

Co-Authors

H-index: 106
Tim Finin

Tim Finin

University of Maryland, Baltimore County

H-index: 100
Katia Sycara

Katia Sycara

Carnegie Mellon University

H-index: 95
Jim Hendler

Jim Hendler

Rensselaer Polytechnic Institute

H-index: 91
Anupam Joshi

Anupam Joshi

University of Maryland, Baltimore County

H-index: 38
Yelena Yesha

Yelena Yesha

University of Maryland, Baltimore County

H-index: 38
David Bau

David Bau

Massachusetts Institute of Technology

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