裏取り前
#2025/6/9
from
異常検知に関する良さげなアイデア
損失関数を変更して希少性に対応
コスト考慮型学習 Cost-Sensitive Learning
重み付き損失関数 Weighted Loss Functions
Time-Balanced Focal Loss
TIME-BALANCED FOCAL LOSS FOR AUDIO EVENT DETECTION
DEEP EMBEDDINGS FOR RARE AUDIO EVENT DETECTION WITH IMBALANCED DATA
フューショット学習
One-for-All Few-Shot Anomaly Detection via Instance-Induced Prompt Learning
マルチラベル分類
複数の音を適切に分類する必要性
ある音はもしかすると日頃の生活音(日常生活動作(ADL))かもしれない
一方で異常の可能性もある
マルチクラス分類だとこの判定が上手くいかない???
複数のラベルをつけて判断すれば,ある程度抑制できる?
OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia
マルチタスク学習
A Survey on Diffusion Models for Anomaly Detection
https://qiita.com/koreyou/items/57c00bc314a68432de25
NonIIDに対応したロバストな集約手法
https://flower.ai/docs/baselines/niid_bench.html
当面の間読む: 合計12本
Non-IIDに対応
FedProx
FedSTAR
Meta-HAR: Federated Representation Learning for Human Activity Recognition
メタ学習と表現学習でNon-IIDに対応
ペアワイズ損失を採用
FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition
ユーザの関連を生かし,モデルの構造を動的に共有?
NonIIDとクライアント最適化に対応
ラベルなし学習で対処
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition
Personalized Federated Human Activity Recognition through Semi-Supervised Learning and Enhanced Representation
Semi-supervised federated learning for activity recognition
GraFeHTy: Graph Neural Network using Federated Learning for Human Activity Recognition
Federated clustering and semi-supervised learning: a new partnership for personalized human activity recognition
Federated Learning for IoMT-Enhanced Human Activity Recognition with Hybrid LSTM-GRU Networks
時間依存性など,特徴抽出を強化
Weighted Federated Averagingでクラスの不均衡に対応
Confusion-Resistant Federated Learning via Diffusion-Based Data Harmonization on Non-IID Data
Robust two stages federated learning for sensor based human activity recognition with label noise
長期計画を立てる上で必要そう
クライアント最適化
ATPFL: Automatic Trajectory Prediction Model Design Under Federated Learning Framework
Personalized Federated Learning: A Meta-Learning Approach
メタ学習でクライアント最適化?
FedReMa: Improving Personalized Federated Learning via Leveraging the Most Relevant Clients
クライアント最適化のラベル不均衡の影響を改善
PeFLL: personalized federated learning
通信効率
FedFT: Improving Communication Performance for Federated Learning with Frequency Space Transformation
モデルパラメータを周波数空間で表現
通信効率の向上に寄与
DeComFL: Federated Learning with Dimension-Free Communication
通信コストをO(1)に
Zeroth-order Optimizationを利用したアルゴリズムを提案
cf. https://scholar.harvard.edu/files/yujietang/files/slides_2019_zero-order_opt_tutorial.pdf
Federated Learning: Strategies for Improving Communication Efficiency
通信効率改善のサーベイ
制約最適化
Battery-constrained federated edge learning in uav-enabled iot for b5g/6g networks
バッテリー制約に基づくFL
一旦後回しにする
Indoor Abnormal Behavior Detection for the Elderly: A Review, 2025
老人の屋内における異常検知のサーベイ
Towards Federated Learning at Scale: System Design
システム設計に関するサーベイ
クライアント選択
Human Activity Recognition Using Federated Learning
各種課題の精度への影響を検証
クライアントの拒絶手法を提案
Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition
Hierarchical Clustering-Based Personalized Federated Learning for Robust and Fair Human Activity Recognition
セキュリティ
Federated Learning with Differential Privacy: An Utility-Enhanced Approach
FLにDPを適用する
Federated Split Learning for Human Activity Recognition with Differential Privacy
HAR向けに差分プライバシーを適用したFSL
連合スプリット学習 (FSL) を使用
システム異質性
Resource-constrained federated learning with heterogeneous labels and models for human activity recognition
システム異質性を蒸留で対処
Exploiting federated learning technique to recognize human activities in resource-constrained environment
クライアントを除外
他
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
異質性への対処に関するサーベイ
Federated Learning for Activity Recognition: A System Level Perspective
HAR-FLのシステムにおける,実世界での課題を分析
中央集権的な手法と比較,評価
FedMultimodal: A Benchmark For Multimodal Federated Learning
マルチモーダルなFLの基準となりうる手法を提案
Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation
言語情報と視覚情報の両方を学習するために相互知識蒸留アプローチを採用
FedAudio: A Federated Learning Benchmark for Audio Tasks
NotebookLMに入れたがまとめていない
A survey on wearable sensor modality centred human activity recognition in health care, 2019
Ambient assisted living for frail people through human activity recognition: state-of-the-art, challenges and future directions, 2023
Audio- and Video-Based Human Activity Recognition Systems in Healthcare, 2023
Deep learning for sensor-based activity recognition: A survey, 2019
Human Activity Recognition (HAR) Using Deep Learning: Review, Methodologies, Progress and Future Research Directions, 2024
Sensing Technology for Human Activity Recognition: A Comprehensive Survey, 2020