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07/17/2023
Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels
Many existing FL methods assume clients with fully-labeled data, while i...
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06/14/2023
Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts
One of the goals in Federated Learning (FL) is to create personalized mo...
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05/23/2023
Counterfactual Augmentation for Multimodal Learning Under Presentation Bias
In real-world machine learning systems, labels are often derived from us...
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10/28/2022
Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout
Asynchronous learning protocols have regained attention lately, especial...
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10/04/2022
Invariant Aggregator for Defending Federated Backdoor Attacks
Federated learning is gaining popularity as it enables training of high-...
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09/18/2022
Distribution inference risks: Identifying and mitigating sources of leakage
A large body of work shows that machine learning (ML) models can leak se...
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04/27/2022
Heterogeneous Ensemble Knowledge Transfer for Training Large Models in Federated Learning
Federated learning (FL) enables edge-devices to collaboratively learn a ...
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03/25/2022
FLUTE: A Scalable, Extensible Framework for High-Performance Federated Learning Simulations
In this paper we introduce "Federated Learning Utilities and Tools for E...
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12/10/2021
Sequence-level self-learning with multiple hypotheses
In this work, we develop new self-learning techniques with an attention-...
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10/19/2021
Tackling Dynamics in Federated Incremental Learning with Variational Embedding Rehearsal
Federated Learning is a fast growing area of ML where the training datas...
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10/01/2021
UserIdentifier: Implicit User Representations for Simple and Effective Personalized Sentiment Analysis
Global models are trained to be as generalizable as possible, with user ...
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06/14/2021
Dynamic Gradient Aggregation for Federated Domain Adaptation
In this paper, a new learning algorithm for Federated Learning (FL) is i...
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01/24/2021
A Review of Speaker Diarization: Recent Advances with Deep Learning
Speaker diarization is a task to label audio or video recordings with cl...
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08/06/2020
Federated Transfer Learning with Dynamic Gradient Aggregation
In this paper, a Federated Learning (FL) simulation platform is introduc...
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12/10/2019
Advances in Online Audio-Visual Meeting Transcription
This paper describes a system that generates speaker-annotated transcrip...
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10/24/2019
Combining Acoustics, Content and Interaction Features to Find Hot Spots in Meetings
Involvement hot spots have been proposed as a useful concept for meeting...
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08/30/2019
Enhancements for Audio-only Diarization Systems
In this paper two different approaches to enhance the performance of the...
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05/03/2019
Meeting Transcription Using Virtual Microphone Arrays
We describe a system that generates speaker-annotated transcripts of mee...
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04/13/2019
Low-Latency Speaker-Independent Continuous Speech Separation
Speaker independent continuous speech separation (SI-CSS) is a task of c...
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05/09/2018
Improving End-of-turn Detection in Spoken Dialogues by Detecting Speaker Intentions as a Secondary Task
This work focuses on the use of acoustic cues for modeling turn-taking i...
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08/23/2017
Capturing Long-term Temporal Dependencies with Convolutional Networks for Continuous Emotion Recognition
The goal of continuous emotion recognition is to assign an emotion value...
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03/06/2017