| Nov 01, 2024 | The baseline of our paper, FedDebug, for debugging malicious/faulty clients in Federated Learning is available in the Flower AI framework. Check out the code here. |
| Oct 31, 2024 | Our paper, TraceFL, is accepted at 𝗜𝗖𝗦𝗘-𝟮𝟬𝟮𝟱 (acceptance rate ~𝟭𝟬% [132/1219]). TraceFL addresses the open challenge of interpretability in federated learning using neuron provenance. |
| Oct 03, 2024 | Presented 𝐌𝐞𝐚𝐧𝐂𝐚𝐜𝐡𝐞, a semantic cache for LLMs, at the Amazon - Virginia Tech Initiative for Efficient and Robust ML. Selected as one of 18 participants for the poster presentation. [Poster] [Paper] |
| Aug 19, 2024 | Serving as a program committee member on the artifact evaluation track for the 47th International Conference on Software Engineering (ICSE) 2025. |
| Aug 07, 2024 | Delivered an invited talk on Achieving Debugging and Interpretability in Federated Learning Systems at Flower AI, a premier platform for federated learning. [Slides] |
| Dec 04, 2023 | Presented our paper, FedDefender, during the SE4SafeML event at FSE-2023 in San Francisco, California. |
| Sep 20, 2023 | My work at Cisco got open-sourced (Link). |
| May 22, 2023 | I started working at Cisco with Shannon and Pallavi. |
| May 14, 2023 | I received National Science Foundation (NSF) award to present our paper, FedDebug, at ICSE-2023 in Melbourne, Australia. [Slides] |