1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2025
ALIGN-FL: Architecture-independent Learning through Invariant Generative component sharing in Federated Learning
Mayank Gulati, Benedikt Groß, Gerhard Wunder
We present ALIGN-FL, a novel approach to distributed learning that addresses the challenge of learning from highly disjoint data distributions through selective sharing of generati…
cs.LG2025
Rethinking Explanation Evaluation under the Retraining Scheme
Yi Cai, Thibaud Ardoin, Mayank Gulati +1
Feature attribution has gained prominence as a tool for explaining model decisions, yet evaluating explanation quality remains challenging due to the absence of ground-truth explan…
cs.NI2024★ 1 cited
Model CBOR Serialization for Federated Learning
Koen Zandberg, Mayank Gulati, Gerhard Wunder +1
The typical federated learning workflow requires communication between a central server and a large set of clients synchronizing model parameters between each other. The current fr…